Missing information reconstruction of remote sensing data: A technical review
Because of sensor malfunction and poor atmospheric conditions, there is usually a great
deal of missing information in optical remote sensing data, which reduces the usage rate …
deal of missing information in optical remote sensing data, which reduces the usage rate …
Missing data reconstruction in remote sensing image with a unified spatial–temporal–spectral deep convolutional neural network
Because of the internal malfunction of satellite sensors and poor atmospheric conditions
such as thick cloud, the acquired remote sensing data often suffer from missing information …
such as thick cloud, the acquired remote sensing data often suffer from missing information …
[HTML][HTML] A comprehensive review of spatial-temporal-spectral information reconstruction techniques
Q Wang, Y Tang, Y Ge, H **_and_Inpainting_of_Remotely_Sensed_Images/links/5a27d4b3aca2727dd883dbda/A-MAP-Based-Algorithm-for-Destri**-and-Inpainting-of-Remotely-Sensed-Images.pdf" data-clk="hl=ru&sa=T&oi=gga&ct=gga&cd=6&d=11863138712684915745&ei=skasZ6-YOZuoieoP4-_VmAI" data-clk-atid="IezEOs5VoqQJ" target="_blank">[PDF] researchgate.net
A MAP-based algorithm for destri** and inpainting of remotely sensed images
Remotely sensed images often suffer from the common problems of stripe noise and random
dead pixels. The techniques to recover a good image from the contaminated one are called …
dead pixels. The techniques to recover a good image from the contaminated one are called …
[HTML][HTML] Development and validation of a new MODIS snow-cover-extent product over China
X Hao, G Huang, Z Zheng, X Sun, W Ji… - Hydrology and Earth …, 2022 - hess.copernicus.org
Abstract Based on MOD09GA/MYD09GA surface reflectance data, a new MODIS snow-
cover-extent (SCE) product from 2000 to 2020 over China has been produced by the …
cover-extent (SCE) product from 2000 to 2020 over China has been produced by the …
An adaptive weighted tensor completion method for the recovery of remote sensing images with missing data
Missing information, such as dead pixel values and cloud effects, is very common image
quality degradation problems in remote sensing. Missing information can reduce the …
quality degradation problems in remote sensing. Missing information can reduce the …
For-backward LSTM-based missing data reconstruction for time-series Landsat images
Reconstructing the missing data for cloud/shadow-covered optical satellite images has great
significance for enhancing the data availability and multi-temporal analysis. In this study, we …
significance for enhancing the data availability and multi-temporal analysis. In this study, we …