Title of article :
Improving Cartosat-1 DEM accuracy using synthetic stereo pair and triplet
Author/Authors :
Giribabu، نويسنده , , D. and Srinivasa Rao، نويسنده , , I. S. R. Krishna Murthy، نويسنده , , Y.V.N.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2013
Pages :
13
From page :
31
To page :
43
Abstract :
Cartosat–1 is the first Indian Remote Sensing Satellite capable of providing along-track stereo images. Cartosat–1 provides forward stereo images with look angles +26° and −5° with respect to nadir for generating Digital Elevation Models (DEMs), Orthoimages and value added products for various applications. A pitch bias of −21° to the satellite resulted in giving reverse tilt mode stereo pair with look angles of +5° and −26° with respect to nadir. This paper compares DEMs generated using forward, reverse and other possible synthetic stereo pairs for two different types of topographies. Stereo triplet was used to generate DEM for Himalayan mountain topography to overcome the problem of occlusions. at to undulating topography it was shown that using Cartosat-1 synthetic stereo pair with look angles of −26° and +26° will produce improved version of DEM. Planimetric and height accuracy (Root Mean Square Error (RMSE)) of less than 2.5 m and 2.95 m respectively were obtained and qualitative analysis shows finer details in comparison with other DEMs. For rugged terrain and steep slopes of Himalayan mountain topography simple stereo pairs may not provide reliable accuracies in DEMs due to occlusions and shadows. Stereo triplet from Cartosat-1 was used to generate DEM for mountainous topography. This DEM shows better reconstruction of elevation model even at occluded region when compared with simple stereo pair based DEM. Planimetric and height accuracy (RMSE) of nearly 3 m were obtained and qualitative analysis shows reduction of outliers at occluded region.
Keywords :
Forward/reverse stereo , Cartosat-1 , image matching , Triplet/tri-stereoscopy , Himalayan Mountains , DEM , occlusions , Synthetic stereo pairs
Journal title :
ISPRS Journal of Photogrammetry and Remote Sensing
Serial Year :
2013
Journal title :
ISPRS Journal of Photogrammetry and Remote Sensing
Record number :
2229155
Link To Document :
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