Rapidly Single-Temporal Remote Sensing Image Cloud Removal based on Land Cover Data
Author:
Affiliation:
1. Key Laboratory of Digital Earth Science, Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing,China,100094
2. Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing,China,100094
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9883023/9883024/09883184.pdf?arnumber=9883184
Reference10 articles.
1. A Modified Neighborhood Similar Pixel Interpolator Approach for Removing Thick Clouds in Landsat Images
2. Image Inpainting by Kriging Interpolation Technique;jassim;World Comput Sci Inf Technol J,2013
3. Stable classification with limited sample: Transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017;chen;Sci Bull,2019
4. Reconstruction of Cloud-free Sentinel-2 Image Time-series Using an Extended Spatiotemporal Image Fusion Approach
5. Spatially and Temporally Weighted Regression: A Novel Method to Produce Continuous Cloud-Free Landsat Imagery
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1. Variational-Based Spatial–Temporal Approximation of Images in Remote Sensing;Remote Sensing;2024-06-27
2. GLTF-Net: Deep-Learning Network for Thick Cloud Removal of Remote Sensing Images via Global–Local Temporality and Features;Remote Sensing;2023-10-27
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