A joint sparsity approach to tunnel activity monitoring using high resolution satellite images

Abstract

Excavated soil can be used as an indirect indicator of tunnel activities. This paper presents a new sparsity based approach to soil detection using satellite images where the resolution of multispectral bands are pansharpened first. Spatial, temporal, and feature information has been jointly used in soil detection. Extensive experiments clearly demonstrated the feasibility of our approach.