Evaluation of LBTM for high resolution satellite imagery rectification

Pao Yue-kong Library Electronic Theses Database

Evaluation of LBTM for high resolution satellite imagery rectification


Author: Sun, Yushan
Title: Evaluation of LBTM for high resolution satellite imagery rectification
Degree: M.Sc.
Year: 2007
Subject: Hong Kong Polytechnic University -- Dissertations.
Remote-sensing images.
Transformations (Mathematics)
Department: Dept. of Land Surveying and Geo-Informatics
Pages: viii, 78 leaves : ill. ; 30 cm.
Language: English
InnoPac Record: http://library.polyu.edu.hk/record=b2191438
URI: http://theses.lib.polyu.edu.hk/handle/200/2920
Abstract: At present, high-resolution satellite image are more and more extensively applied for city planning, surveying mapping, land management, agriculture and military field etc. And it becomes more and more important to acquire orthophotoimage by processing geometric rectification of satellite original images. For topographic mapping of Western China, there are not enough ground control points or well-distributed control points in the area. In this study a three-dimensional affine transformation, 3D affine line base transformation model is applied, to achieve geometric rectification based on a set of artificial data and a pair of high-resolution remote sensing image, taking a stereo of SOPT-5 images for example, and evaluate the feasibility of high-resolution remote sensing image rectification base on LBTM (Line Base Transformation Model) for western mapping in China. After studying the arithmetic of traditional transformation model and LBTM, the practices are carried out on both artificial data, the using transformation parameters of which has been calculated by real SOFT and IKNOS satellite image, and a pair of stereo SOPT-5 satellite images in Baoji of Shanxi province in Western China. Utilizing artificial data at flat, hilly and mountainous terrains, the rectification accuracy based on linear features of different terrains is analyzed. And the result of higher accuracy type of linear feature will be applied for real remote sensing image in the images of Western China. Errors are measured in terms of root mean square, the feasibility of LBTM is then discussed. The final results of real data sets have not researched required accuracy, due to the situation of old photograph or cartographic map data and manually captured of data sets. The linear feature distribution of those area will be not forecasted, the practice need to re-process after data acquisition of whole depopulated area in Western China.

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