Title :
Fusion of ascending and descending pass raw TanDEM-X DEM
Author :
Deo, Rinki ; Rossi, Cristian ; Eineder, Michael ; Fritz, Thomas ; Rao, Y.S. ; Lachaise, Marie
Author_Institution :
CSRE, Indian Inst. of Technol. Bombay, Mumbai, India
Abstract :
This paper deals with the fusion of TanDEM-X raw DEMs in ascending and descending pass over Mumbai test area and enhance its quality. Before applying fusion method, a robust layover and shadow map has been calculated in ITP using TanDEM-X DEM and the corresponding slant range image. The selection of optimum weights for fusion has been based on height error map calculated from interferometric coherence. Results show a substantial reduction in number of invalid pixels after fusion. In the fused DEM, invalid is only 1.2%, while ascending and descending pass DEMs have 6.7% and 5.7% respectively. The improvement in accuracy of the DEM is very slight in this case which is due to the coarse resolution of the SRTM DEM used as reference.
Keywords :
digital elevation models; radar imaging; radar interferometry; sensor fusion; synthetic aperture radar; terrain mapping; ITP; Mumbai test area; SRTM DEM; ascending pass TanDEM-X raw DEM; coarse resolution; descending pass TanDEM-X raw DEM; fused DEM; fusion method; height error map; interferometric coherence; invalid pixels; robust layover; shadow map; slant range image; Accuracy; Coherence; Filtering; Remote sensing; Robustness; Standards; Synthetic aperture radar; Fusion; Layover; Shadow; TanDEM-X; optimum weightage;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6946345