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
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
Thick Cloud Removal in Optical Remote Sensing Images Using a Texture Complexity Guided Self-Paced Learning Method
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3157917
Abstract: Thick clouds seriously impact the quality of optical remote sensing images (RSIs) and limit their application. For removing the cloud, some learning-based methods have been proposed and attracted considerable attention. However, these methods need to… read more here.
Keywords: texture complexity; cloud removal; remote sensing; cloud ... See more keywords
Thick Cloud Removal Under Land Cover Changes Using Multisource Satellite Imagery and a Spatiotemporal Attention Network
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3236106
Abstract: Remote sensing satellites provide observations of the Earth’s surface, which are crucial data for applications and analyses in several fields, including agriculture, environmental protection, and sustainable development. However, the wide and frequent occurrence of clouds… read more here.
Keywords: land cover; cloud removal; cloud;
Thick Cloud Removal for Multitemporal Remote Sensing Images: When Tensor Ring Decomposition Meets Gradient Domain Fidelity
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3276414
Abstract: Thick clouds in remote sensing (RS) images deteriorate the visual quality and hinder subsequent applications. The emerging multitemporal RS images with rich temporal information bring the opportunity for cloud removal. How to effectively exploit the… read more here.
Keywords: cloud removal; remote sensing; domain fidelity;