Progressive gap-filling in optical remote sensing imagery through a cascade of temporal and spatial reconstruction models

Author:

Wu Jingan,Li Tongwen,Lin Liupeng,Zeng Chao

Publisher

Elsevier BV

Reference42 articles.

1. Thick cloud removal in Landsat images based on autoregression of Landsat time-series data;Cao;Remote Sens. Environ.,2020

2. A simple and effective method for filling gaps in Landsat ETM+ SLC-off images;Chen;Remote Sens. Environ.,2011

3. Spatially and temporally weighted regression: a novel method to produce continuous cloud-free landsat imagery;Chen;IEEE Trans. Geosci. Remote Sens.,2017

4. Thick clouds removing from multitemporal landsat images using spatiotemporal neural networks;Chen;IEEE Trans. Geosci. Remote Sens.,2022

5. Inpainting for remotely sensed images with a multichannel nonlocal total variation model;Cheng;IEEE Trans. Geosci. Remote Sens.,2014

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