DEM-Aided Block Adjustment for Satellite Images With Weak Convergence Geometry

NCUIR > Research Center > Center for Space and Remote Sensing Research > journal & Dissertation > Item 987654321/50618

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/50618

Title:	DEM-Aided Block Adjustment for Satellite Images With Weak Convergence Geometry
Authors:	Teo,TA;Chen,LC;Liu,CL;Tung,YC;Wu,WY
Contributors:	太空及遙測研究中心
Keywords:	BUNDLE ADJUSTMENT;SPOT IMAGERY;GENERATION;IKONOS;ORTHOPHOTOS;MODEL
Date:	2010
Issue Date:	2012-03-27 17:49:10 (UTC+8)
Publisher:	國立中央大學
Abstract:	To acquire the largest possible coverage for environmental monitoring, it is important in most situations that the overlapping areas and the convergent angles of respective satellite images be small. The traditional bundle adjustment method used in aerial photogrammetry may not be the most suitable for direct orientation modeling in situations characterized by weak convergence geometry. We propose and compare three block adjustment methods for the processing of satellite images using the digital elevation model (DEM) as the elevation control. The first of these methods is a revised traditional bundle adjustment approach. The second is based on the direct georeferencing approach. The third is a rational function model with sensor-oriented rational polynomial coefficients. A collocation technique is integrated into all three methods to improve the positioning accuracy. Experimental results indicate that using the DEM as an elevation control can significantly improve the geometric accuracy as well as the geometric discrepancies between images. This is the case for all three methods. Moreover, the geometric performance of the three methods is similar. There is a significant improvement in geometric consistency between overlapping SPOT images with respect to single image adjustment for steep areas.
Relation:	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
Appears in Collections:	[Center for Space and Remote Sensing Research ] journal & Dissertation

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