Cloud Detection Algorithm for Multi-Satellite Remote Sensing Imagery Based on a Spectral Library and 1D Convolutional Neural Network

Cloud Detection Algorithm for Multi-Satellite Remote Sensing Imagery Based on a Spectral Library and 1D Convolutional Neural Network

Automatic cloud detection in remote sensing images is of great significance. Deep-learning-based methods can achieve cloud detection with high accuracy; however, network training heavily relies on a large number of labels. Manually labelling pixel-wise level cloud and non-cloud annotations for many...

Full description

Bibliographic Details
Main Authors: Nan Ma, Lin Sun, Chenghu Zhou, Yawen He
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Remote Sensing
Subjects:
ASTER spectral library
hyperspectral data
1D convolutional neural network
cloud detection
data simulation
multi-satellite remote sensing images
Online Access:https://www.mdpi.com/2072-4292/13/16/3319

Internet

https://www.mdpi.com/2072-4292/13/16/3319

Similar Items