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035 _a.b10182111
099 9 _aAIT Thesis no.CS-93-31
100 1 _aChen, Tong-li
245 1 0 _aData fusion of multi-sensor satellite images
260 _aBangkok :
_bAsian Institute of Technology,
_c1993
300 _a77 leaves +
_e1 online resource
490 1 _aThesis ;
_vno. CS-93-31
500 _aA thesis submitted in partial fulfillment of the requirement for the degree of Master of Science
502 _aThesis (M.Sc.) - Asian Institute of Technology, 1993
520 _aSome techniques for data fusion of different sensor imagery are described. Implementations have been done on Landsat Thematic Mapper with JERS-1 SAR images, and Landsat MSS with JERS-1 SAR images. All data are with different spatial resolution. First, the digital image from one sensor was geometrically registered to the other, re sampling and interpolation algorithms were developed. Next, four color composite methods of band replacement, band ratioing composite, Principal Components Analysis and IHS transformation were developed. The information contents-partial and spectral - were mixed to generate a single data set that contained the best of both sets. In the study, comparative studies among the various compositions were made to evaluate the image quality and interpretability. An effective algorithm of Principal Components Analysis was developed to implement the PCA color composite.
650 0 _aImage processing
_xDigital techniques
_xRemote sensing
700 1 _aMurai, Shunji,
_eChairperson
700 0 _aVilas Wuwongse,
_eExamination Committee
700 1 _aYulu, Qi,
_eExamination committee
710 2 _aGovernment of R.O.C,
_eScholarship donor
810 2 _aAsian Institute of Technology.
_tThesis ;
_vno. CS-93-31
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B16141
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