Change detection for road condition mapping based on dry and rainy season VHR dual-pol radar imagery over tropical areas. Application to Chad

Author

Raphaël, Kourdian ; Rousselin, Thierry ; François, Florianne ; Lerouge, Gilles

Author_Institution

Centre de Geosci., Ecole des Mines de Paris, Paris, France

fYear

2009

fDate

12-16 Oct. 2009

Firstpage

1

Lastpage

3

Abstract

New Very High Resolution dual-polarization radar sensors in X-band (TerraSAR-X and Cosmo-Skymed) are offering technical opportunities for the detection of road condition changes between dry and rainy period in tropical areas. We applied classification methods (fuzzy logic and learning algorithms), multi-incidence and optical-radar combination in order to estimate surface elements (relief, flooded areas), soil properties (wetness, surface roughness) and road conditions from multi-date acquisitions over SW Chad. These estimations are calibrated with data measurements on the field. They are included in a road condition service designed for military, humanitarian and industrial logistics.

Keywords

radar imaging; Cosmo-Skymed; TerraSAR-X; X-band; change detection; multi-incidence; optical radar combination; road condition mapping; road condition service; soil properties; surface elements; very high resolution dual polarization radar imagery; very high resolution dual polarization radar sensors; Defense industry; Fuzzy logic; Optical sensors; Radar detection; Radar imaging; Roads; Rough surfaces; Soil measurements; Soil properties; Surface roughness; Chad; VHR radar imagery; mobility; road condition; tropical areas; wetness index;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar Conference - Surveillance for a Safer World, 2009. RADAR. International

Conference_Location

Bordeaux

Print_ISBN

978-2-912328-55-7

Type

conf

Filename

5438512