Cloud removal in remote sensing images using nonnegative matrix factorization and error correction
Sign Up to like & getrecommendations! Published in 2019 at "ISPRS Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2018.12.013
Abstract: Abstract In the imaging process of optical remote sensing platforms, clouds are an inevitable barrier to the effective observation of sensors. To recover the original information covered by the clouds and the accompanying shadows, a… read more here.
Keywords: error correction; cloud; remote sensing; cloud removal ... See more keywords
Cloud removal for hyperspectral remotely sensed images based on hyperspectral information fusion
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2018.1466068
Abstract: ABSTRACT Hyperspectral remote sensing plays an important role in a wide variety of fields. However, its specific application for land surface analysis has been constrained due to the different shapes of thick, opaque cloud cover.… read more here.
Keywords: information; image; removal hyperspectral; cloud removal ... See more keywords
Thin Cloud Removal Fusing Full Spectral and Spatial Features for Sentinel-2 Imagery
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3211857
Abstract: Multispectral remote sensing images are widely used for monitoring the globe. Although thin clouds can affect all optical bands, the influences of thin clouds differ with band wavelength. When processing multispectral bands at different resolutions,… read more here.
Keywords: spatial features; cloud removal; thin cloud; thin clouds ... See more keywords
A Novel Dense-Attention Network for Thick Cloud Removal by Reconstructing Semantic Information
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3236384
Abstract: The presence of thick clouds in single optical images shows the contamination of interesting objects. Besides, the difficulty of thick cloud removal is mainly the restoration of the weak boundary information from cloud-contaminated areas. Recently,… read more here.
Keywords: information; semantic information; network; cloud removal ... See more keywords
Cloud-EGAN: Rethinking CycleGAN From a Feature Enhancement Perspective for Cloud Removal by Combining CNN and Transformer
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3280947
Abstract: Cloud cover presents a major challenge for geoscience research of remote sensing images with thick clouds causing complete obstruction with information loss while thin clouds blurring the ground objects. Deep learning (DL) methods based on… read more here.
Keywords: feature enhancement; cloud removal; cloud egan; feature ... See more keywords
Multisource Topographic-Enhanced Cloud Removal for Remote Sensing in Mountainous Landscapes
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3572379
Abstract: In mountainous landscapes, integrating topographical information is crucial for effective analysis and understanding. Remote sensing becomes indispensable in studying mountains, enabling the monitoring of critical aspects such as grassland degradation, snow depth, glacier dynamics. The… read more here.
Keywords: information; remote sensing; removal; cloud removal ... See more keywords
A Novel Thin Cloud Removal Method Based on Multiscale Dark Channel Prior (MDCP)
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3062853
Abstract: Cloud contamination is a common phenomenon in the optical remote sensing field, which limits their application in land surface studies and causes the waste of satellite images. This letter presents a new framework for removing… read more here.
Keywords: channel prior; cloud removal; dark channel;
Thin Cloud Removal for Remote Sensing Images Using a Physical-Model-Based CycleGAN With Unpaired Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3140033
Abstract: Thin cloud removal from remote sensing (RS) images is challenging. Recently, deep-learning-based methods have achieved excellent results using supervised training on paired image data. However, in practice, real paired image data are unavailable. Therefore, in… read more here.
Keywords: physical model; cloud removal; thin cloud; image ... See more keywords
Feedback Network for Compact Thin Cloud Removal
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3256416
Abstract: The thin cloud removal (CR) technique has great practical value for the application of remote-sensing images. Existing deep-learning-based methods have attained remarkable achievements. However, most of them neglect the inherent feature correlations in deeper layers… read more here.
Keywords: compact thin; cloud removal; crfb net; thin cloud ... See more keywords
PM-LSMN: A Physical-Model-Based Lightweight Self-Attention Multiscale Net for Thin Cloud Removal
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2024.3403674
Abstract: Recently, deep learning-based thin cloud removal methods have led to remarkable results. However, these deep learning models often have intricate structures, numerous parameters, and entail substantial training costs, rendering them impractical for widespread implementation in… read more here.
Keywords: thin cloud; attention; cloud; cloud removal ... See more keywords
Structural Representation-Guided GAN for Remote Sensing Image Cloud Removal
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2024.3516078
Abstract: Optical remote sensing imagery is often compromised by cloud cover, making effective cloud-removal techniques essential for enhancing the usability of such data. We designed a novel structural representation-guided generative adversarial network (GAN) framework for cloud… read more here.
Keywords: image; remote sensing; cloud; cloud removal ... See more keywords