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Journal Article Comprehensive Analysis of Sensor Modeling Alternatives for High Resolution Imaging Satellite
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Authors
Ayman Habib, Sung Woong Shin, Kyung Ok Kim, Chang Jae Kim, Ki-In Bang, Eui-Myoung Kim, Dong-Cheon Lee
Issue Date
2007-11
Citation
Photogrammetric Engineering and Remote Sensing, v.73, no.11, pp.1241-1251
ISSN
0099-1112
Publisher
American Society for Photogrammetry and Remote Sensing
Language
English
Type
Journal Article
Abstract
High-resolution imaging satellites are a valuable and cost-effective data acquisition tool for a variety of mapping and GIS applications such as topographic mapping, map updating, orthophoto generation, environmental monitoring, and change detection. Sensor modeling that describes the mathematical relationship between corresponding scene and object coordinates is a prerequisite procedure prior to manipulating the acquired imagery from such systems for mapping purposes. Rigorous and approximate sensor models are the two alternatives for describing the mathematics of the involved imaging process. The former explicitly involves the internal and external characteristics of the imaging sensor to faithfully represent the geometry of the scene formation. On the other hand, approximate modeling can be divided into two categories. The first category simplifies the rigorous model after making some assumptions about the system’s trajectory and/or object space. Gupta and Hartley’s model, parallel projection, self-calibrating direct linear transformation, and modified parallel projection are examples of this category. Other approximate models are based on empirical formulation of the scene-to-ground mathematical relationship. This category includes among others, the well-known Rational Function Model (RFM). This paper addresses several aspects of sensor modeling. Namely, it deals with the expected accuracy from rigorous modeling of imaging satellites as it relates to the number of available ground control points, comparative analysis of approximate and rigorous sensor models, robustness of the reconstruction process against biases in the available sensor characteristics, and impact of incorporating multi-source imagery in a single triangulation mechanism. Following a brief theoretical background, these issues will be presented through experimental results from real datasets captured by satellite and aerial imaging platforms.
KSP Keywords
Aerial imaging, Approximate models, Change detection, Comparative analysis, Data Acquisition(DAQ), Direct Linear Transformation, Empirical formulation, Environmental monitoring, High-resolution imaging, Imaging process, Imaging satellite