Illegal Micro-Dumps Monitoring: Pollution Sources and Targets Detection in Satellite Images with the Scattering Transform

The identification of contaminated sites is a key application in remote sensing. Major challenges are typically related to the difficulties in the spectral characterization of the targets. The detection performance can be improved by exploiting a suitable spatial description of the scene. In this work, the use of spatial features based on the Scattering Transform for detection of micro-dumps and greenhouses is proposed. These features are jointly exploited with spectral ones to improve the classification accuracy within a multi -class classifier. The obtained results show the relevance of spatial features in the detection of the targets of interest.