[IPOL announce] new article: Ground Visibility in Satellite Optical Time Series Based on A Contrario Local Image Matching

[announcements about the IPOL journal]

A new article is available in IPOL: https://www.ipol.im/pub/art/2021/342/

Rafael Grompone von Gioi, Charles Hessel, Tristan Dagobert, Jean-Michel 
Morel, and Carlo de Franchis,
Ground Visibility in Satellite Optical Time Series Based on A Contrario 
Local Image Matching,
Image Processing On Line, 11 (2021), pp. 212–233.
https://doi.org/10.5201/ipol.2021.342

Abstract
Assessing ground visibility is a crucial step in automatic satellite 
image analysis. Some Earth observation satellites are provided with 
spectral bands specially designed for cloud detection. An alternative 
approach is to detect ground visibility by comparing locally the images 
in a temporal series: matching regions are necessarily cloud free. 
Indeed, the ground has persistent patterns that can be observed 
repetitively in the time series, while clouds change shape constantly. 
We describe here a ground visibility detection algorithm based on an a 
contrario local image matching method, coupled with an efficient greedy 
algorithm.