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Study on winter wheat leaf area index inversion employing the PSO-NN-PROSAIL model Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-04-22 Zhong Gao, Xiaoping Lu, Xiaoxuan Wang, Zenan Yang, Ruyi Wang
Leaf area index (LAI) assessment methods relying on physical and empirical models are considered to be the most commonly used method at present, but their estimation efficiency and accuracy are def...
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Multispectral and hyperspectral images fusion based on subspace representation and nonlocal low-rank regularization Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-04-18 Yiguo Yang, Dan Li, Yanyan Lv, Fanqiang Kong, Qiang Wang
Multispectral image (MSI) and hyperspectral image (HSI) fusion is a popular method for HSI super-resolution reconstruction (HSI-SR). MSI-HSI fusion problem is ill-posed and demands several image pr...
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Insects as radar targets: size, form, density and permittivity Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-04-18 V. Alistair Drake, Djordje Mirkovic, Martin J. Steinbauer
To make biologically useful interpretations of the echo signals from an entomological radar (a radar designed and operated to observe insects in flight), it is necessary to relate basic properties ...
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Mind the gaps: horizontal canopy structure affects the relationship between taxonomic and spectral diversity Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-04-17 Valentina Olmo, Giovanni Bacaro, Maurizia Sigura, Giorgio Alberti, Miris Castello, Duccio Rocchini, Francesco Petruzzellis
Spectral diversity (SD) in reflectance can be used to estimate plant taxonomic diversity (TD) according to the Spectral Variation Hypothesis (SVH). However, contrasting relationships between SD and...
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Optimal combinations of global evapotranspiration and terrestrial water storage products for catchment water balance Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-04-17 Sanghyun Yoo, Seokhyeon Kim, Kyungrock Paik
During the last two decades, a great number of global products about evapotranspiration (E) and terrestrial water storage (S) have been released. This has led to numerous combinations for describin...
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Cross-level and multiscale CNN-Transformer network for automatic building extraction from remote sensing imagery Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-04-17 Qinglie Yuan, Bin Xia
Automatic building detection from remote sensing images holds significant applications in various domains, including cartography, land-use change detection, urban planning, and 3D intelligent city ...
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Mapping large-scale pine wilt disease trees with a lightweight deep-learning model and very high-resolution UAV images Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-04-11 Zhipan Wang, Su Xu, Xinyan Li, Mingxiang Cai, Xiang Liao
Pine wilt disease (PWD), caused by pine wood nematodes, has brought a great loss in ecology and economy all over the world. In China, the forest health status is also significantly affected by PWD ...
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Application and comparison of remote sensing techniques for data-driven disaster debris quantification Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-04-11 Jasmine H. Bekkaye, Navid H. Jafari
Effective disaster debris management requires reasonable predictions pre-hazard and estimates post-hazard of debris for a community to get back to normal sooner. However, there is a lack of data re...
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An interactive method for bridging the gap between deep learning based building contour segmentation and manual annotation Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-04-10 Yu Tian, Muying Luo, Shaoyi Wang, Shunping Ji
Although the emergence of deep learning has improved the performance of automatic building extraction, there is still a long way to go before it can completely replace the labour-intensive manual d...
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Towards interpretability lightweight semantic segmentation model for waterbody extraction in large-scale high resolution remote sensing images Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-04-10 Lili Zhang, Yushi Lu, Rui Shi, Yipin Shen, Yehong Shao
In recent years, high resolution (HR) remote sensing images have brought significant changes to land cover monitoring. Monitoring water resources, a vital and scarce commodity for human survival, i...
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An improved current retrieval method for ice-edge eddies from multi-sensor remote sensing image sequences Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-04-10 Xue Yang, Jinsong Chong, Yawei Zhao, Wenjia Zhao
Eddies in the Marginal Ice Zones (MIZ) contribute to an enhanced melting of sea ice by forcing contact between the sea ice and the warmer water off the ice edge. The horizontal current field can be...
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Semantic segmentation for multisource remote sensing images incorporating feature slice reconstruction and attention upsampling Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-04-10 FengKai Lang, Ming Zhang, JinQi Zhao, NanShan Zheng, Hongtao Shi
Multisource remote sensing images have rich features and high interpretability and are widely employed in many applications. However, highly unbalanced category distributions and complex background...
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New mean tropospheric temperature models based on machine learning algorithms for Brazil Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-04-08 Diego Brum, Vinicius Francisco Rofatto, Leonardo Scalco, Luiz Gonzaga Jr, Rafaela de Oliveira Pena, Lucas Schroeder, Luiz Fernando Sapucci, Mauricio Roberto Veronez
Precipitable Water Vapour (PWV) plays an essential role in atmospheric science. Integration between meteorology stations and Global Navigation Satellite Systems (GNSS) receivers has enabled high-re...
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Multi-stream pyramid collaborative network for spectral unmixing Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-04-08 Jie Wang, Mengying Ni, Zhixiang Wang, Yu Yan, Xiang Cheng, Jindong Xu
Convolutional autoencoder, which can well model the spatial correlation of the data, have been widely applied to spectral unmixing task and achieved desirable performance. However, the fixed geomet...
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A radiometric and rotational invariant feature descriptor for multimodal remote sensing image matching using the monogenic signal Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-04-02 Guorong Yu, Shuangming Zhao, Xiaoyong Bian, Yunfan Cui
Multimodal remote sensing image matching is still a challenging task, and its matching performance will highly influence the subsequent applications, such as image fusion, image mosaic and change d...
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C3TB-YOLOv5: integrated YOLOv5 with transformer for object detection in high-resolution remote sensing images Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-04-03 Qinggang Wu, Yang Li, Wei Huang, Qiqiang Chen, Yonglei Wu
In the realm of object detection from high-resolution remote sensing images (HRRSIs), the existing YOLOv5 methods encounter several challenges, including dense object arrangements, small object siz...
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3D reconstruction of spherical images based on incremental structure from motion Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-04-02 San Jiang, Kan You, Wu Chen, Duojie Weng, Yaxin Li
3D reconstruction plays an increasingly important role in modern photogrammetric systems. Conventional satellite or aerial-based remote sensing (RS) platforms can provide the necessary data sources...
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Location-aware multi-code generator for remote sensing scene classification Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-04-01 Xiaoyong Bian, Zufang Yang, Chengsong Hu, Min Peng, Jinshan Tang
Many types of objects are crowdedly distributed on the surface of remote sensing scenes. Global semantics with object mixture and small training samples potentially cause difficulties in the classi...
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MFI-CD: a lightweight siamese network with multidimensional feature interaction for change detection Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-04-01 Xingpeng Zhang, Yuru Li, Qiuli Wang, Sijing Wu
Change detection has always played a crucial role in observing the Earth’s surface. Although visual Transformers (ViTs) have achieved excellent performance in change detection, they require high co...
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HyperScout-1 inflight calibration and product validation Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-03-28 Iskander Benhadj, Stefan Livens, Marco Esposito, Nathan Vercruyssen, Chris Van Dijk, Michael Soukup, Alessandro Zuccaro Marchi, Luca Maresi
Earth observation aims at monitoring the Earth in increasingly more detail by improving the spatial, spectral and temporal resolution of image acquisitions. This can now be achieved in more cost-ef...
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Tree barriers height information extraction under power line based on watershed segmentation and local maximum algorithm Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-03-27 Yan Li, Lv Zhou, Xue Lin Wen, Tai Ying Wu, Mian Lan, Di Zhang, Yi Zhan Zhao, Peng De Lai
In view of the problem that the traditional power line inspection cannot accurately obtain the height of the tree barriers under the power line, this study takes a forest area in Guilin City and a ...
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A tuning-free moderate-scale burned area detection algorithm — a case study in chornobyl-contaminated region Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-03-27 Jun Hu, Shunji Kotsuki, Yasunori Igarashi, Ziping Yang, Mykola Talerko, Olga Tischenko, Valentin Protsak, Serhii Kirieiev
The predefined threshold is one of the main fundamental and methodological challenges underlying the uncertainty and delayed release of existing burned area (BA) products. To improve the accuracy a...
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Forecasting surface movements based on PSI time series using machine learning algorithms Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-03-27 Nur Yagmur, G. Taskin, N. Musaoglu, E. Erten
Surface movements pose a critical issue requiring prompt detection and monitoring to ensure safety. To address this concern, the detection and continuous monitoring of surface deformations have gai...
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Farmland parcel boundary extraction based on local feature extraction and sparse representation from remote sensing images Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-03-19 Mingxue Zheng, Pingting Chen, Xiangcheng Shen, Hongmei Luo, Zhiqing Luo, Hairong Ma, Fenghua Huang
Accurate information on agricultural field boundaries is important for precision agriculture. Contour detection combining local cues presents a high performance on nature images. Image sparse repre...
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Ground-based measurements of HF and HCl total columns in atmosphere near Saint Petersburg (2009–2023) Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-03-21 Svetlana Akishina, Alexander Polyakov, Yana Virolainen
Monitoring of the ozonosphere requires observing the concentration of gases involved in the formation and depletion processes of stratospheric ozone. This study focuses on optimization the ground-b...
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Research progress in surface water quality monitoring based on remote sensing technology Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-03-21 Yue Zheng, Jianjun Wang, Yuriy Kondratenko, Junhong Wu
Urban surface water is an important freshwater resource, and the surface water environment is increasingly being destroyed. Dynamic monitoring of surface water is of great significance for protecti...
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Surface soil moisture retrieval based on transfer learning using SAR data on a local scale Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-03-21 Emadoddin Hemmati, Mahmod Reza Sahebi
Retrieving surface soil moisture on a local scale using Synthetic Aperture Radar (SAR) data and Deep Learning (DL) models necessitates a substantial volume of data, which may not be available in al...
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Geographical coverage analysis and usage suggestions of temporal averaged aerosol optical depth product from GOES-R satellite data Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-03-21 Xingxing Jiang, Yong Xue, Mariarosaria Calvello, Giulia Pavese, Francesco Esposito, Yuhan Pan, Yirun Li, Xi Lu, Chunlin Jin, Shuhui Wu, Sheng Zhang
Geostationary satellites have the capability to offer AOD products with a higher frequency of observation within a given period, thus improving the geographical coverage of averaged AOD products co...
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Estimation of canopy height based on multi-source remote sensing data using forest structure aided sample selection Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-03-20 Yinpeng Zhao, Shouhang Du, Kangning Li, Jinbao Jiang, Qiyu Guo, Wanshan Xiao
Forest canopy height data are crucial for estimating forest carbon storage and assessing forest ecology. By utilizing satellite imagery, canopy height data obtained from airborne or spaceborne LiDA...
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Multi-scale remote sensing retrieval model for land surface emissivity and its impact on land surface temperature estimation Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-03-19 Lijuan Wang, Xiaoping Wang, Die Hu, Sha Sha
As a fundamental parameter of the surface radiation process, land surface emissivity (LSE) is the most direct factor affecting the land surface temperature (LST) retrieval accuracy. Based on the me...
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Satellite rainfall bias correction incorporating effects on simulated crop water requirements Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-03-19 Calisto Kennedy Omondi, Tom H. M. Rientjes, Martijn J. Booij, Andrew D. Nelson
Satellite rainfall estimates (SRE) offer spatial-temporal rainfall representations in regions with limited ground-based gauge rainfall measurements. However, differences exist between SRE and gauge...
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Hyperspectral image classification method based on narrowing semantic gap convolutional neural network Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-03-15 Shufang Xu, Sijie Geng, Tingting Fan, Chenming Li, Hongmin Gao
In recent years, numerous hyperspectral image classification methods based on convolutional neural network (CNN) have been proposed in recent years. However, the majority of CNN-based classificatio...
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RCS measurement and ISAR imaging radar in VHF/UHF radio channels Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-03-15 Soumyasree Bera, Samarendra Nath Sur, Arun Kumar Singh, Rabindranath Bera
The Radar Cross Section (RCS) plays a crucial role in radar systems, serving to detect and characterize radar targets. Moreover, the need to penetrate foliage and capture images of man-made structu...
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Characterizing post-fire northern boreal forest height dynamics Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-03-15 Martin Queinnec, Nicholas C. Coops, Joanne C. White
The forest structure of Canada’s northern unmanaged boreal forests are not well characterized despite their critical importance for ecosystem services such as carbon storage and caribou habitat, as...
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Remote sensing monitoring of seagrass bed dynamics using cross-temporal-spatial domain transfer learning in Yellow river Delta Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-03-07 Ziyue Meng, Yabin Hu, Guangbo Ren, Wenqing Zhu, Jianbu Wang, Shanwei Liu, Yi Ma
Seagrass beds play a vital ecological role by regulating climate, maintaining biodiversity, and sequestering carbon. Achieving accurate classification of seagrass beds across both time and space is...
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A near real-time automated oil spill detection and early warning system using Sentinel-1 SAR imagery for the Southeastern Mediterranean Sea Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-03-07 Yi-Jie Yang, Suman Singha, Ron Goldman
The ecological and environmental impact of marine oil pollution underlines the importance and necessity of an oil spill surveillance system. This study proposes an operational automated oil spill d...
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Mayfly algorithm-based semi-supervised band selection with enhanced bitonic filter for spectral-spatial hyperspectral image classification Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-03-11 Mohammed Abdulmajeed Moharram, Divya Meena Sundaram
Hyperspectral imaging effectively distinguishes land cover classes with discriminative spectral-spatial characteristics. However, hyperspectral image (HSI) classification encounters three significa...
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Convolutional transformer attention network with few-shot learning for grassland degradation monitoring using UAV hyperspectral imagery Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-03-11 Tao Zhang, Yuge Bi, Chuanzhong Xuan
In recent years, the desertification of grasslands has increased due to various factors, including both global warming and human activities. It is an essential basis for grassland degradation monit...
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A deterministic descriptive regularization-based method for SAR tomography in urban areas Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-03-07 Hossein Armeshi, Mahmod Reza Sahebi, Hossein Aghababaei
In recent years, Synthetic Aperture Radar (SAR) Tomography (TomoSAR) has ascertained great potential for the three-dimensional (3-D) reconstruction of observed scenes, especially in urban areas. Ho...
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Fine-resolution land cover mapping over large and mountainous areas for Lāna‘i, Hawaii using posterior probabilities, and expert knowledge Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-03-07 Lucas Berio Fortini, Qi Chen, Yoko Uyehara, Kari Bogner, Jonathan Sprague, Rachel Sprague
The task of accurately mapping species-specific vegetation cover in remote and topographically complex regions like those found in Hawaiʻi presents unique challenges. This study leverages a machine...
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Identifying urban built-up areas using CORONA imagery in the pre-Landsat era: a case study of Shanghai in 1965 Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-03-07 Shuang Li
The Corona project (1959–1972) created a large number of high-resolution images that provided valuable historical research data before the advent of Landsat (1972) and even compensated for the lack...
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Construction and implementation of a poplar spectral library based on phenological stages for land cover classification using high-resolution satellite images Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-03-08 Taskin Kavzoglu, Ismail Colkesen, Ayhan Atesoglu, Hasan Tonbul, Elif Ozlem Yilmaz, Seyma Ozlusoylu, Muhammed Yusuf Ozturk
As valued members of forest ecosystems, fast-growing tree species are of great importance for protecting natural forests, fulfilling the demand for raw wood material, and preserving biodiversity an...
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Hyperspectral image change detection based on an improved multi-scale and spectral-wise transformer Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-03-01 Changzhong Zou, Wenfeng Liang, Lei Liu, Changwu Zou
Change detection (CD) has a significant application in the remote sensing field. Because of the popularity of hyperspectral image (HSI) and the application of deep learning methods, hyperspectral i...
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Feasibility study of forest wood-boring pest detection base on hyperspectral LiDAR Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-03-01 Hui Shao, Hulong Zhang, Peilun Hu, Yuwei Chen, Wei Li, Long Sun, Yuxia Hu
Forest pests impose significant threats to tree productivity and ecosystem stability. Most studies focussed on foliage water, tree defoliate and mortality, which lag behind pest outbreak. To addres...
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HyA-GAN: remote sensing image cloud removal based on hybrid attention generation adversarial network Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-02-27 Minghao Jin, Pengwei Wang, Yusong Li
In recent years, with the continuous advancement of remote sensing technology, remote sensing images have found widespread application in various fields. However, remote sensing images are often hi...
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Spatial-spectral graph convolutional extreme learning machine for hyperspectral image classification Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-02-29 Qing Yu, Xiangdong Li, Hongrui Zhang, Jinhuan Xu
Hyperspectral image has excellent spectral information and abundant spatial information, and its feature quality is one of the key factors affecting the classification performance. Extreme learning...
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MMF-CNN: a multimodal fusion CNN network for winter wheat extraction incorporating active and passive time series data Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-02-29 Jingyi Chen, Haifeng Han, Mingming Xu, Jianhua Wan, Shanwei Liu
Timely and accurate acquisition of winter wheat planting areas is crucial for food security. In this study, Sentinel-1 and Sentinel-2 time-series data are integrated at the feature level to enhance...
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Automated ocean front feature mapping using Sentinel-1 with examples from the Gulf Stream Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-02-29 Andrew Newall, Anders Knudby, Wesley Van Wychen
This study assessed the ability of Sentinel-1 radial velocity (RVL) products to mark the position of ocean current front features, using the Gulf Stream (GS) as a case study. RVL-derived front feat...
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Geometrical projection improved multi-objective particle swarm optimization for unsupervised nonlinear hyperspectral unmixing Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-02-29 Huangying Zhang, Bin Yang
In recent years, a series of bilinear mixture models (BMMs) have been well studied, based on which nonlinear unmixing algorithms for hyperspectral images have been proposed. However, the performanc...
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A new combined atmospheric correction algorithm for GOCI-2 Data over coastal waters assessed by long-term satellite ocean color platforms Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-02-19 Feng Qiao, Jianyu Chen, Bing Han, Qingjun Song, Qiankun Zhu, Di Jia
Accurate atmospheric correction (AC) is essential in retrieving ocean and coastal water ecosystem products from ocean colour remote sensing data. Generally, the atmospheric correction algorithms th...
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Hyperspectral image classification based on local feature decoupling and hybrid attention SpectralFormer network Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-02-21 Yunji Zhao, Wenming Bao, Xiaozhuo Xu, Yuhang Zhou
Classification of hyperspectral image (HSI) is an essential step in various remote sensing tasks. Currently, transformer-based models have made significant contributions to HSI classification due t...
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Complement time-series UAV spectral data based on Ambrals kernel-driven model to monitor soil moisture content Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-02-23 Pingliang Xie, Yuxin Zhang, Xiaofei Yang, Yalan Ba, Zhitao Zhang, Ning Yang, Jialiang Huang, Zhikai Cheng, Junying Chen
Continuous time-series spectral data are important for inversion of crop or soil information. UAV remote sensing is usually selected under clear and windless weather conditions, but it is not possi...
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Estimation of Regional Evapotranspiration Based on the Decouple Model and Remote Sensing Information ——a Case Study in Beijing City and Nearby Region Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-02-23 Su-Chuang Di, Zhao-Liang Li, Yanmin Ren, Meng Liu, Ya-Zhen Jiang, Fan-Dong Zheng, Xue-Min Li, Yan-Bing Qi, Hong-Lu Liu, Ronglin Tang
Evapotranspiration (ET) is an important component of surface energy balance and a key process of hydrological cycle. Continuous and accurate estimation of regional ET is meaningful for water manage...
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Effect of high-resolution satellite and UAV imagery plot pixel resolution in wheat crop yield prediction Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-02-20 Worasit Sangjan, Arron H. Carter, Michael O. Pumphrey, Kyall Hagemeyer, Vadim Jitkov, Sindhuja Sankaran
Accurate crop performance assessment and yield prediction in plant breeding programmes can aid decision-making to improve productivity and product quality during crop selection and management. Grai...
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Hyperspectral and multispectral image fusion via residual selective kernel attention-based U-net Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-02-20 Jiawei Deng, Bin Yang
The fusion of low-resolution hyperspectral image (LR-HSI) and high-resolution multispectral image (HR-MSI) is a crucial technology for producing high-resolution hyperspectral images. Most existing ...
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On the use of dual-polarized multi-angular observations of P-band brightness temperature for soil moisture profile retrieval in thawed mineral soil Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-02-19 Konstantin V. Muzalevskiy, Jeffrey P. Walker, Foad Brakhasi, Nan Ye, Xiaoling Wu, Xiaoji Shen
This article investigated the possibility of remotely sensing the soil moisture profile in thawed soil from multi-angular dual-polarized brightness temperature (TB) observations at P-band frequenci...
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Hyper-spectral image compression based on band selection and slant Haar type orthogonal transform Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-02-19 Xiuqiao Xiang, Yuhong Jiang, Baochang Shi
There is information redundancy in both spatial and spectral aspects of hyperspectral images. Considering a fixed proportion in sequential forward method may not find the optimal bands, we modify a...
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Fast building detection using new feature sets derived from a very high-resolution image, digital elevation and surface model Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-02-14 Mehmet Akif Günen
Detecting building rooftops with very high-resolution (VHR) images is an important issue in many fields, including disaster management, urban planning, and climate change research. Buildings with v...
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A new algorithm for mapping large inland water bodies using CYGNSS Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-02-15 Maoxiang Chang, Peng Li, Yufeng Hu, Yue Sun, Houjie Wang, Zhenhong Li
The persistence of inland water bodies affects climate, biodiversity, and human societies. Among the multiple remote sensing methods, Global Navigation Satellite System Reflectometry (GNSS-R) techn...
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Tuned weighted feature fusion with hybridized DNN-RNN framework for plant disease detection and classification Int. J. Remote Sens. (IF 3.4) Pub Date : 2024-02-16 K P Chaitanya, A. Mary Posonia
In the world economy, agriculture is an essential part among individuals to earn money. But, the farmers face more obstacles because more diseases naturally affect the health of the plant. Hence, t...