Virtual image-based cloud removal for Landsat images-Reference-Cited by-同舟云学术

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Virtual image-based cloud removal for Landsat images

Published:2023-01-05 Issue:1 Volume:60 Page:
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Wang Zhanpeng¹,Zhou Demin¹²³,Li Xiaojuan¹²³,Zhu Lin¹²³,Gong Huili¹²³,Ke Yinghai¹²

Affiliation:

1. College of Resource Environment and Tourism, Capital Normal University, Beijing, China

2. Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing, China

3. Laboratory Cultivation Base of Environment Process and Digital Simulation, Capital Normal University, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2022.2160411

Reference46 articles.

1. Thick cloud removal in Landsat images based on autoregression of Landsat time-series data

2. Automatic Cloud Removal from Multi-Temporal Landsat Collection 1 Data Using Poisson Blending

3. A practical approach to reconstruct high-quality Landsat NDVI time-series data by gap filling and the Savitzky–Golay filter

4. A Novel Cloud Removal Method Based on IHOT and the Cloud Trajectories for Landsat Imagery

5. Cloud removal for remotely sensed images by similar pixel replacement guided with a spatio-temporal MRF model

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