-
Efficient low-overlapping point cloud registration based on two-stage network learning Remote Sens. Lett. (IF 2.3) Pub Date : 2024-03-25 Zhenghua Zhang, Guoliang Chen, Xuan Wang
This letter introduces an efficient registration method for large-scale point clouds with low overlap, which adopts a two-stage transformation learning process. In the first stage, we integrate a p...
-
Detecting rotated ships in SAR images using a streamlined ship detection network and gliding phases Remote Sens. Lett. (IF 2.3) Pub Date : 2024-03-25 Wenbo Yu, Jiamu Li, Zijian Wang, Zhongjun Yu, Yunhua Luo, Yabo Liu, Jie Feng
Deep learning methods have greatly promoted the ship detection performance in synthetic aperture radar (SAR) images. However, due to the different imaging mechanisms and target characteristics, det...
-
A global patch similarity-based graph for unsupervised SAR image change detection Remote Sens. Lett. (IF 2.3) Pub Date : 2024-03-17 Jun Wang, Fei Zeng, Anjun Zhang, Ting You
This letter presents a novel method for synthetic aperture radar (SAR) image change detection using the global patch similarity-based graph (GPSG). First, the SAR image is divided into a number of ...
-
Prediction of sea-surface salinity using MODIS and Sentinel-3 data Remote Sens. Lett. (IF 2.3) Pub Date : 2024-03-14 Pankaj Patidar, Dnyaneshwar Gawai, Somsubhra Chakraborty, Subhadip Dey
Precise estimation of Sea Surface Salinity (SSS) is of prime importance to know marine physical and biochemical processes. In this manuscript we have utilized the Random Forest (RF) and Support Vec...
-
A thermal infrared remote sensing approach for estimating soil porosity Remote Sens. Lett. (IF 2.3) Pub Date : 2024-03-18 Saeid Asadzadeh, Carlos Roberto de Souza Filho
Porosity is a significant property of soil, yet an elusive parameter to retrieve from remote sensing data. Here, an empirical relationship between soil water contents and infrared emissivity is emp...
-
Spatial–temporal patterns of ecological changes in the Dongting Lake region and their responses to climate factors and human activities Remote Sens. Lett. (IF 2.3) Pub Date : 2024-03-13 Shunshi Hu, Yunqian Zhou, Yi Cen
The Dongting Lake region is an important ecological and environmental protection zone in the Yangtze River Economic Belt of China. Long-term monitoring and evaluation of its ecological environment ...
-
Downscaling MODIS NDSI to Sentinel-2 fractional snow cover by random forest regression Remote Sens. Lett. (IF 2.3) Pub Date : 2024-03-13 Andreas Kollert, Andreas Mayr, Stefan Dullinger, Karl Hülber, Dietmar Moser, Stef Lhermitte, Simon Gascoin, Martin Rutzinger
Imagery acquired by the Moderate-resolution Imaging Spectroradiometer (MODIS) provides a global archive of dailyNormalized Difference Snow Index (NDSI) at 500 m nominal resolution since the year 20...
-
Hyperspectral image classification using a residual enhanced feature fusion hypergraph neural network Remote Sens. Lett. (IF 2.3) Pub Date : 2024-03-05 Yanhong Yang, Danyang Li, Hongtao Wang, Yuan Feng, Lei Yan, Guodao Zhang
HyperGraph Neural Network (HGNN) has recently emerged as a promising approach for hyperspectral image classification (HSIC), reconciling state-of-the-art performance with powerful representation ca...
-
Deriving high-accuracy lake water-level changes from multi-source satellite datasets Remote Sens. Lett. (IF 2.3) Pub Date : 2024-03-01 Nan Xu, Hao Xu, Lin Wang
Satellite data have exhibited a great potential to track lake water-level changes. By integrating multi-source satellite datasets (i.e., Ice, Cloud and land Elevation Satellite-2 (ICESat-2) lidar d...
-
Landslide extraction using a novel empirical method and binary semantic segmentation U-NET framework using sentinel-2 imagery Remote Sens. Lett. (IF 2.3) Pub Date : 2024-02-29 Meghanadh Devara, Vipin Kumar Maurya, Ramji Dwivedi
Artificial intelligence (AI) has achieved a remarkable place in solving complex problems in almost all disciplines. Based on the recent notable performances of machine learning and deep learning te...
-
Quantifying trade-offs in satellite hardware configurations using a super-resolution framework with realistic image degradation Remote Sens. Lett. (IF 2.3) Pub Date : 2024-02-26 Jack White, Alex Codoreanu, Ignacio Zuleta, Colm Lynch, Giovanni Marchisio, Kai Qin, Stephen M. Petrie, Alan R. Duffy
When designing and operating Earth observation satellites, trade-offs must often be made between different hardware components, operational considerations, etc… For example, considerations include ...
-
Reconstructing historical urban landscapes from KH-9 HEXAGON mapping camera system imagery: an example of Hangzhou City Remote Sens. Lett. (IF 2.3) Pub Date : 2024-02-26 Amir Reza Shahtahmassebi, Danni Huang, Jie Lu, Erling Li, Xiaoli Huang, Ling Jiang, Golnaz Shahtahmassebi, Nathan Moore, Peter M. Atkinson
Declassified images from the Keyhole (KH)-9 HEXAGON mapping camera system (MCS) offer fine-scale details of urban regions. However, these images have seldom been utilized in urban research due to c...
-
Using remote-sensing data to study the rapid growth of wind farms and their impact on bird habitat in Yellow Sea Wetland, China Remote Sens. Lett. (IF 2.3) Pub Date : 2024-02-19 Yue Zheng, Junhong Wu, Natalia Sheviakina, Snizhana Zahorodnia, Tomchenko Olha, Kreta Dmytro, Oleksandr Trofymchuk
As an important migratory bird habitat along the East Asian-Australasian route, the coastal wetlands along the Yellow Sea have experienced significant human losses and threats due to the impact of ...
-
Recognition of multi-season rice in a complex tropical agronomy zone using time-series SAR data: a case study of Hainan, China Remote Sens. Lett. (IF 2.3) Pub Date : 2024-02-20 Lu Xu, Hong Zhang, Chao Wang, Chunling Sun, Fan Wu, Bo Zhang
Rice plays a significant role in regional food supply and international food trading, especially for Asian countries. However, accurate mapping of tropical rice cultivationis a challenging task due...
-
Land surface temperature prediction with dual satellites and BPNN: a comparative transfer function analysis Remote Sens. Lett. (IF 2.3) Pub Date : 2024-02-19 Shivam Chauhan, Ajay Singh Jethoo, Umesh Kumar Das
Driven by global sustainability goals, understanding land surface temperature (LST) in urban thermal environments (UTE) is crucial. This study analyses remotely sensed LST data from Aqua and Terra ...
-
A hyperspectral image classification method based on feature enhancement and a hybrid deformable convolution network Remote Sens. Lett. (IF 2.3) Pub Date : 2024-02-09 Yunji Zhao, Zhihao Zhang, Wenming Bao, Xiaozhuo Xu, Zhifang Gao
In recent years, some hyperspectral image (HSI) classification methods based on deep models have shown excellent performance. Most deep models receive three-dimensional (3D) block structures as inp...
-
Recognizing landslides in remote sensing images based on enhancement of information in digital elevation models Remote Sens. Lett. (IF 2.3) Pub Date : 2024-02-11 Lu Jia, Xiaopeng Leng, Xingchen Wang, Manyuan Nie
To address the landslide recognition problem in remote sensing images, this paper designs a visual transformer network model based on DEM (digital elevation model) feature enhancement, which is exp...
-
A 3-D scattering centre model-based SAR target recognition method using multi-level region matching Remote Sens. Lett. (IF 2.3) Pub Date : 2024-02-07 Baiyuan Ding, Ao Zhang, Rui Li
A 3-D scattering centre model-based synthetic aperture radar (SAR) automatic target recognition (ATR) method is proposed. Multi-level dominant scattering areas (DSAs) are generated from the test sa...
-
Hyperspectral image classification using a double-branch hierarchical partial convolution network Remote Sens. Lett. (IF 2.3) Pub Date : 2024-02-06 Zijian Sheng, Guo Cao, Hao Shi, Youqiang Zhang
Recently, convolutional neural network (CNN) and Transformer have been successfully applied in hyperspectral image (HSI) classification. Despite their success, some challenges persist. Popular HSI ...
-
Comparative analysis of bias correction methods for IMERG V06 precipitation products: case study in Guangxi, China Remote Sens. Lett. (IF 2.3) Pub Date : 2024-02-01 Meiqing Yang, Qian Ni, Xiang Diao, Qiang Xiong
This study investigates the effectiveness of three bias correction methods: linear scaling (LS), local intensity scaling (LOCI), and quantile mapping (QM) in correcting the bias of Integrated Multi...
-
Range current retrieval fromsentinel-1 SAR ocean product based on deep learning Remote Sens. Lett. (IF 2.3) Pub Date : 2024-01-27 Weizeng Shao, Yuhang Zhou, Yuyi Hu, Yan Li, Yashi Zhou, Qingjun Zhang
In this study, the feasibility of current retrieval from Sentinel-1 (S-1) synthetic aperture radar (SAR) in the radar look/range direction is investigated. S-1 Ocean (OCN) products acquired in inte...
-
EMAFF-Net: an enhanced multi-scale attentive feature fusion network for building extraction from VHR remote sensing images Remote Sens. Lett. (IF 2.3) Pub Date : 2024-01-25 Lakshmi Vijayan, Akshara Preethy Byju
Automated building extraction is imperative for several geospatial applications such as monitoring disaster-affected buildings and urban planning. Existing deep learning (DL)-based building extract...
-
Observations of water optical properties during red tide outbreaks off southeast Hokkaido by GCOM-C/SGLI: implications for the development of red tide algorithms Remote Sens. Lett. (IF 2.3) Pub Date : 2024-01-18 Eko Siswanto, Jutarak Luang-on, Kazunori Ogata, Hiroto Higa, Mitsuhiro Toratani
A severe red tide event, caused primarily by dinoflagellate Karenia selliformis, occurred during the autumn of 2021 in the waters off southeast Hokkaido and resulted in damage of $70 million to fis...
-
Adaptive multimodal feature fusion with frequency domain gate for remote sensing object detection Remote Sens. Lett. (IF 2.3) Pub Date : 2024-01-17 Xu Sun, Yinhui Yu, Qing Cheng
Fusing complementary information of visible and infrared radiation modalities can improve object detection performance for unmanned aerial vehicle (UAV) remote sensing images under insufficient ill...
-
A discriminatory groups-based supervised band selection technique for hyperspectral image classification Remote Sens. Lett. (IF 2.3) Pub Date : 2024-01-10 Shiv Nath Chaudhri, Swalpa Kumar Roy
Dimensionality reduction is a prevalent preprocessing step when analysing hyperspectral images (HSIs). It uses band selection (BS) and feature extraction (FE) techniques, but the former can retain ...
-
UAV-assisted heavy metal tracking in oil palm plantations: present applications and future prospects Remote Sens. Lett. (IF 2.3) Pub Date : 2023-12-28 Muhammad Yudhi Rezaldi, Ambar Yoganingrum, Abdurrakhman Prasetyadi, Aang Gunawan Sutyawan, Arafat Febriandirza, Cahyo Trianggoro, Ridwan Suhud
Indonesia and Malaysia produce the most palm oil in the world. The world’s palm oil industry doubled in 1960–1990 and then increased steadily until 2020. However, the industry faces problems and ch...
-
An inland water detection method based on CYGNSS Remote Sens. Lett. (IF 2.3) Pub Date : 2023-12-28 Can Chen, Songhua Yan, Jun Yang, Jie Mei
Inland water body detection can be applied to water resource management, climate change detection, flood monitoring and other scenarios. Inland water body detection based on Global Navigation Satel...
-
MSTGI: a multi-scale spatio-temporal grid index model for remote-sensing big data retrieval Remote Sens. Lett. (IF 2.3) Pub Date : 2023-12-26 Hong Liu, Jining Yan, Jinlin Wang, Dongmei Zhang, Jiang Li, Lihua He, Xingguo Yu
To promote the transformation of remote sensing (RS) data into geoscience knowledge, it is necessary to provide better data discovery capabilities, especially when large amounts of RS data have bee...
-
Extraction of tobacco planting area by using time-series of remote sensing data and the random forest algorithm Remote Sens. Lett. (IF 2.3) Pub Date : 2023-12-26 Huaming Xie, Weiqing Zhang, Qianjiao Wu, Ting Zhang, Chukun Zhou, Zixian Chen
Efficiently obtaining tobacco planting area is significant for rationally allocating tobacco resources and realizing the balance between supply and demand. However, tobacco fields are characterized...
-
Discrimination of the degree of heavy metal pollution in corn leaves in mining areas based on semi-supervised learning Remote Sens. Lett. (IF 2.3) Pub Date : 2023-12-25 Jiale He, Keming Yang, Fei Yang, Yanru Li, Bing Wu, Jianhong Zhang
To assess the degree of heavy metal pollution in crops, this study focused on crop leaves subjected to varying levels of heavy metal copper (Cu) stress. After removing outliers and applying smoothi...
-
A depth-invariant index to map floating algae: a conceptual design Remote Sens. Lett. (IF 2.3) Pub Date : 2023-12-23 Chuanmin Hu
The concept of floating algae index (FAI), a measure of the red-edge reflectance of floating vegetation, has been used to map floating macroalgae in global oceans. However, when the algae mats are ...
-
A robust and adaptable high-precision method for matching flipped SAR images based on an oriented descriptor Remote Sens. Lett. (IF 2.3) Pub Date : 2023-12-16 Zhong Wang, Chenglin Cai, Mingjun Deng, Zexian Li, Dongbo Zhang, Yun Fang
The increasing imaging capability of spaceborne Synthetic Aperture Radar (SAR) systems makes a challenging task in matching slant-range (SR) SAR images acquired from different orbit and side-viewin...
-
A low-cost regularization strategy for the 3D reconstruction of wind turbines based on remote sensing images Remote Sens. Lett. (IF 2.3) Pub Date : 2023-12-14 Junzhe Gan, Wenwu Yang
Unmanned aerial vehicle remote sensing images are easy to acquire and cost-effective. Their application provides a new approach for the maintenance of offshore wind farms. To obtain an accurate mod...
-
Micro-vibration monitoring of pipelines using millimetre-wave MIMO radar Remote Sens. Lett. (IF 2.3) Pub Date : 2023-12-10 Benyamin Hosseiny, Jalal Amini, Hossein Aghababaei
To ensure pipelines’ safety it is essential to have a regular and accurate monitoring system to inspect the behaviour of pipelines over time to prevent potential damage. This paper explores the cap...
-
Tropical cyclone wind direction retrieval from sentinel-1 SAR imagery by a modified Improved Local Gradient (ILG-Mod) method Remote Sens. Lett. (IF 2.3) Pub Date : 2023-12-10 Ting Xie, Xupu Geng, Kelsea Edwing, Dongsheng Liu, Canliang Jian, Xiao-Hai Yan
Tropical cyclones (TC) are the most intense interactions between the ocean and atmosphere. Synthetic aperture radar (SAR) can capture high resolution marine atmospheric and oceanic features. Theref...
-
Wavelet analysis for quantifying NavIC-IR multipath signal frequency with the aim of determining soil moisture in agricultural fields Remote Sens. Lett. (IF 2.3) Pub Date : 2023-12-08 Sushant Shekhar, Rishi Prakash, Dharmendra Kumar Pandey, Anurag Vidyarthi, Deepak Putrevu, Nilesh M. Desai
This paper explores the potential of Global Navigation Satellite Systems (GNSS) multipath signals for soil moisture retrieval, specifically focusing on Navigation with Indian Constellations (NavIC)...
-
Identification of winter canola based on dual-polarized SAR datasets in hilly mountainous areas of southwest China Remote Sens. Lett. (IF 2.3) Pub Date : 2023-11-29 Kexiao Wang, Bao Yu, Xiang Huang, Bo Li
To improve the accuracy of canola identification in the southwest cloudy and foggy mountains of China, this letter puts forward a group of canola recognition features with the multi-temporal Sentin...
-
A novel spatio-temporal fusion approach combining deep learning downscaling and FSDAF method Remote Sens. Lett. (IF 2.3) Pub Date : 2023-11-27 Dunyue Cui, Zhichao Chen, Shidong Wang
Flexible spatio-temporal data fusion (FSDAF) is usually used to fuse high spatial resolution images with ordinary up-sampling methods processed low spatial resolution images. However, ordinary up-s...
-
First experience of 3D georeferencing accuracy assessment of SPOT 6 stereo panchromatic primary images by sensor-dependent orientation model Remote Sens. Lett. (IF 2.3) Pub Date : 2023-11-30 Hüseyin Topan
The panchromatic stereo images of SPOT 6 were assessed with respect to three-dimensional georeferencing accuracy using sensor-dependent orientation model for the first time. The panchromatic images...
-
Spatio-spectral Cross-Attention Transformer for Hyperspectral image and Multispectral image fusion Remote Sens. Lett. (IF 2.3) Pub Date : 2023-11-30 Xilei Qin, Huihui Song, Jiaqing Fan, Kaihua Zhang
This paper presents a novel Spatio-spectral Cross-Attention Transformer (SCAformer) for HyperSpectral Image and MultiSpectral Image (HSI/MSI) fusion. Specifically, we first design a Parallel Spatio...
-
A feature filtering-based transfer network for few-shot soil organic carbon content estimation with spectral data Remote Sens. Lett. (IF 2.3) Pub Date : 2023-11-27 Wudi Zhao, Zhilu Wu, Zhendong Yin, Dasen Li
At present, the deep learning method relies on its strong feature extraction ability and has been successfully applied to the estimation of soil organic carbon (SOC) content with large-scale hypers...
-
Peace-Athabasca Delta water surface elevations and slopes mapped from AirSWOT Ka-band InSAR Remote Sens. Lett. (IF 2.3) Pub Date : 2023-11-22 Laurence C. Smith, Jessica V. Fayne, Bo Wang, Ethan D. Kyzivat, Colin J. Gleason, Merritt E. Harlan, Theodore Langhorst, Dongmei Feng, Tamlin M. Pavelsky, Daniel L. Peters
In late 2023 the Surface Water and Ocean Topography (SWOT) satellite mission will release unprecedented high-resolution measurements of water surface elevation (WSE) and water surface slope (WSS) g...
-
Nitrogen fertilization assessment in maize (Zea mays L.) using hyperspectral UV/VIS/NIR data Remote Sens. Lett. (IF 2.3) Pub Date : 2023-11-22 Katarzyna Kubiak, Jan Kotlarz, Marcin Spiralski, Jakub Szymański
In this study, we are identifying differences in the UV/VIS/NIR (ultraviolet/visible/near-infrared) spectral signatures of maize leaves according to a range of fertilization rates from 0 to 240 kg/...
-
Fusion of monocular height maps for 3D urban scene reconstruction from uncalibrated satellite images Remote Sens. Lett. (IF 2.3) Pub Date : 2023-11-23 Soon-Yong Park, Chang-Min Son, DongUk Seo, Seung-Hae Baek
With the increased availability of multi-view satellite images, the number of investigations on 3D urban scene reconstruction from multiple satellite images is also increasing. Conventional Multi-V...
-
An operational split-window algorithm for retrieving land surface temperature from FengYun-4A AGRI data Remote Sens. Lett. (IF 2.3) Pub Date : 2023-11-16 Xiangchen Meng, Weihan Liu, Jie Cheng, Hao Guo
The National Oceanic and Atmospheric Administration (NOAA) Joint Polar Satellite System (JPSS) Enterprise algorithm with explicit path length correction (named as the adapted enterprise algorithm) ...
-
An ai approach to ensuring consistency of albedo products from COMS/MI and GK-2A/AMI Remote Sens. Lett. (IF 2.3) Pub Date : 2023-11-08 Jongho Woo, Noh-Hun Seong, Daeseong Jung, Suyoung Sim, Nayeon Kim, Sungwoo Park, Sungwon Choi, Eunha Sohn, Ki-Hong Park, Kyung-Soo Han
Satellite-based surface albedo data are widely used to monitor and analyse the global climate and environmental changes. Korea continuously retrieves surface albedo from the Communication, Ocean an...
-
A Multi-view SAR target recognition method based on adaptive weighted decision fusion Remote Sens. Lett. (IF 2.3) Pub Date : 2023-11-09 Tingwei Zhang
Synthetic aperture radar (SAR) provides high-resolution observations day and night, whose resulting images can be interpreted for different applications. For the SAR automatic target recognition (A...
-
Identifying morphological hotspots in large rivers by optimizing image enhancement Remote Sens. Lett. (IF 2.3) Pub Date : 2023-11-02 Muhammad Usman, Ahmad Ali Gul, Sawaid Abbas, Umair Rabbani, Syed Muhammad Irteza
Limited access to observe in-situ sediment changes requires viable means for quantifying sediment transport in large rivers for effective management of changes in river channels. This study develop...
-
A shaped collaborative representation-based detector for hyperspectral anomaly detection Remote Sens. Lett. (IF 2.3) Pub Date : 2023-11-05 Maryam Imani
A modified version of the collaborative representation-based detector (CRD) is proposed for hyperspectral anomaly detection. In contrast to the conventional CRD, which uses a rectangular dual windo...
-
Double non-local adaptive structural priors for pan-sharpening Remote Sens. Lett. (IF 2.3) Pub Date : 2023-10-31 Pengfei Liu, Jiahui Liu
In this letter, we propose a novel pan-sharpening model with double non-local adaptive structural priors under the plug-and-play (PnP) framework, which aims to generate a high-resolution multispect...
-
Change Detection in Synthetic Aperture Radar Images based on a Spatial Pyramid Pooling Attention Network (SPPANet) Remote Sens. Lett. (IF 2.3) Pub Date : 2023-10-30 V. N. Sujit Vudattu, Umesh C. Pati
Synthetic aperture radar (SAR) plays a vital role in change detection (CD) analysis due to the ability to produce remote sensing images throughout the day, regardless of weather conditions. Nowaday...
-
Generative adversarial network augmentation for solving the training data imbalance problem in crop classification Remote Sens. Lett. (IF 2.3) Pub Date : 2023-10-29 Leonid Shumilo, Anton Okhrimenko, Nataliia Kussul, Sofiia Drozd, Oleh Shkalikov
Deep learning models offer great potential for advancing land monitoring using satellite data. However, they face challenges due to imbalanced real-world data distributions of land cover and crop t...
-
Imbalanced learning of remotely sensed data for bioenergy source identification in a forest in the Wallacea region of Indonesia Remote Sens. Lett. (IF 2.3) Pub Date : 2023-10-23 Ibnu F. Kurniawan, Fei He, Iswan Dunggio, Marini S. Hamidun, Zulham Sirajuddin, Muhammad Aziz, A. Taufiq Asyhari
Remote sensing technologies have been increasingly crucial to support policy-makers in achieving their ecological strategies. The data provided by such technology can estimate the bioenergy source ...
-
Motion error parameter estimation based on vortex echo data Remote Sens. Lett. (IF 2.3) Pub Date : 2023-09-30 Xiao Tang, Chenlu Li, Yongxing Du, Ling Qin, Baoshan Li
The carrier platform in synthetic aperture radar (SAR) imaging may deviate from the correct trajectory due to end currents in the atmosphere, causing motion errors and ultimately degrading the qual...
-
A lightweight skip-connected expansion inception network for remote sensing scene classification Remote Sens. Lett. (IF 2.3) Pub Date : 2023-10-03 Aiye Shi, Ziqi Li, Xin Wang
Remote sensing image (RSI) scene classification is a hot topic in the field of remote sensing and has garnered a lot of attention. The key issue in image classification is effectively understanding...
-
Semi-empirical models for estimating canopy chlorophyll content: the importance of prior information Remote Sens. Lett. (IF 2.3) Pub Date : 2023-10-03 Dong Li, Hengbiao Zheng, Xia Yao, Yan Zhu, Weixing Cao, Tao Cheng
The canopy chlorophyll content (CCC) provides valuable information about the crop growth status. CCC can be estimated using remote sensing techniques, such as through the red-edge-based chlorophyll...
-
Closed-form expressions of PFA of mean level CFAR detectors for multiple-pulse gamma-distributed radar clutter Remote Sens. Lett. (IF 2.3) Pub Date : 2023-09-30 Mohamed Baadeche, Faouzi Soltani
In a radar detection system, multiple pulse (MP) transmission is used to improve detection performance compared to the single pulse case by integrating the echoes of pulses at reception. In this pa...
-
The impact of rice cultivation in green and blue water on the economic productivity of the valley region of Manipur, India Remote Sens. Lett. (IF 2.3) Pub Date : 2023-09-30 N Bidyarani Chanu, Bakimchandra Oinam
Rice is a staple food for the vast majority of the world’s population and one of the world’s largest consumers of freshwater. Unfortunately, climate change will further worsen the demand for blue w...
-
Barlow twin self-supervised pre-training for remote sensing change detection Remote Sens. Lett. (IF 2.3) Pub Date : 2023-09-30 Wenqing Feng, Jihui Tu, Chenhao Sun, Wei Xu
Remote sensing change detection (CD) methods that rely on supervised deep convolutional neural networks require large-scale labelled data, which is time-consuming and laborious to collect and label...
-
Predicting Larch Casebearer damage with confidence using Yolo network models and conformal prediction Remote Sens. Lett. (IF 2.3) Pub Date : 2023-09-21 Ulf Norinder, Stephanie Lowry
This investigation shows that successful forecasting models for monitoring forest health status with respect to Larch Casebearer damages can be derived using a combination of a confidence predictor...