A Joint Sparsity Approach to Soil Detection Using Expanded Bands of WV-2 Images

Soil can be used as a damage indicator of landslides and flooding, which expose soil from vegetation canopy. It can also be used as an indirect indicator of illegal tunnel digging activity. This letter presents a sparsity-based approach to soil detection using multispectral satellite images, where b...

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Veröffentlicht in:	IEEE geoscience and remote sensing letters 2019-12, Vol.16 (12), p.1869-1873
Hauptverfasser:	Dao, Minh, Kwan, Chiman, Bernabe, Sergio, Plaza, Antonio J., Koperski, Krzysztof
Format:	Artikel
Sprache:	eng
Schlagworte:	Detection Dictionaries Extended multiattribute profile (EMAP) Feasibility studies Flood damage Flooding Geology Image detection joint sparsity-based model landslide Landslides multispectral (MS) satellite images Plant cover Satellite imagery Satellites Soil soil detection Soils Spaceborne remote sensing Sparsity Spatial resolution synthetic spectral bands Terrain factors Training Tunnels
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Beschreibung
Zusammenfassung:	Soil can be used as a damage indicator of landslides and flooding, which expose soil from vegetation canopy. It can also be used as an indirect indicator of illegal tunnel digging activity. This letter presents a sparsity-based approach to soil detection using multispectral satellite images, where both original and synthetic bands have been used. Spatial and spectral information has then been jointly used in soil detection. Extensive experiments clearly demonstrated the feasibility of our approach.
ISSN:	1545-598X 1558-0571
DOI:	10.1109/LGRS.2019.2911923