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Proceedings Paper

Imaging spectrometer image data fusion
Author(s): Jiping Ma; Zequn Guan; Jilin Liu
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Paper Abstract

Imaging spectrometer is one important aspect of contemporary remote sensing developments. It is characterized by huge amount of supermultipal spectral image data provision. For less remote sensing image data provision, we used to put all the data directly into the process of image object recognition without making any data fusion. Even occasional data fusion is experiential. This situation is not suitable for imaging spectrometer. The supermultipal bands of imaging spectrometer provide us with much more freedom on available choices of suitable images for procession and information extraction; at the same time, fusion between different related image data aimed at themes extracting can reduce the amount of data on one hand, and make most use of imaging spectrometer image data on the other. And to some extent, image data fusion is of utmost importance and practical significance for theme information extracting from imaging spectrometer images. This paper discusses fusion methods for conventional remote sensing data. Based on analysis of imaging spectrometer, it proposes method for imaging spectrometer image data.

Paper Details

Date Published: 25 September 1998
PDF: 4 pages
Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); doi: 10.1117/12.323601
Show Author Affiliations
Jiping Ma, Wuhan Technical Univ. of Surveying and Mapping (China)
Zequn Guan, Wuhan Technical Univ. of Surveying and Mapping (China)
Jilin Liu, Wuhan Technical Univ. of Surveying and Mapping (China)


Published in SPIE Proceedings Vol. 3545:
International Symposium on Multispectral Image Processing (ISMIP'98)
Ji Zhou; Anil K. Jain; Tianxu Zhang; Yaoting Zhu; Mingyue Ding; Jianguo Liu, Editor(s)

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