[IPOL announce] new article: Detection and Interpretation of Change in Registered Satellite Image Time Series

[announcements about the IPOL journal]

A new article is available in IPOL: https://www.ipol.im/pub/art/2022/416/

Tristan Dagobert, Rafael Grompone von Gioi, Carlo de Franchis, and 
Charles Hessel,
Detection and Interpretation of Change in Registered Satellite Image 
Time Series,
Image Processing On Line, 12 (2022), pp. 625–651.
https://doi.org/10.5201/ipol.2022.416

Abstract
Time series of satellite images are now massively available thanks to 
the existence of several constellations of recurrent satellites. We 
propose a method for detecting and measuring the duration of changes on 
such series. This approach is intended to be generic and independent of 
the type of satellite used, whether band limited or multispectral. It is 
based on a global analysis of the sequence. The statistical detection 
method is applied to a residual sequence computed from backward and 
forward novelty filters applied to all images in the series. Significant 
changes are computed with a guarantee on their number of false alarms 
(NFA). To establish the efficiency of the method, we have created an 
open database of 28 sequences of 20 images acquired by the Sentinel-2 
satellite, in different regions of the world. We obtain satisfactory 
results, which are consistent with the visual observations.