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008 100210s2009 th uu|m rtt 0| a1eng d
035 _a.b12072953
099 9 _aAIT Thesis no.RS-09-02
100 1 _aChaminda, S. P.
245 1 0 _aAssessment of DEM accuracy generated from ALOS PRISM high resolution stereo-optical imagery using LPS
260 _aPathum Thani, Thailand :
_bAsian Institute of Technology,
_c2009
300 _a96 leaves :
_bill.
490 1 _aThesis ;
_vno. RS-09-02
500 _aA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Remote Sensing and Geographical Information System
502 _aThesis (M.Eng.) - Asian Institute of Technology, 2009
520 _aThe low resolution and high inconsistency in digital topographic data are a crucial problem of their practical usage in various engineering and scientific applications. New Japanese Panchromatic Remote sensing Instrument for Stereo Mapping (PRISM) sensor that is carried on the Advanced Land Observing Satellite (ALaS) could consider as one of the solution to overcome this topographical data quality problem. This research was initiated to assess the accuracy of ALaS generated DEM data and to evaluate the practical usage of Leica Photogrammetric Suit (LPS) software package using as a tool for generating ALOS based DEM. Study was carried out over a selected test site in Sri Lanka. Generated DEMs were compared for accuracy assessment using different Check Points (CPs). Check points were observed in the field in three distribution patterns, linear, curved and arbitrary and they were further categorized according to terrain distribution of the study area. Error maps were generated to present spatial correlation of the error distribution over the area. The lowest RMSE and NIMA Absolute Linear Error (LE)90 of the height for whole study area was 2-3 pixels depending primarily on surface roughness, vegetation and image texture and image quality. The RMSE and NIMA Absolute LE90 values of height for the specific areas ranged from 2 pixels (lowland) to 4 pixels in a tree»covered mountainous area. This study reveals that accuracy of the generated DEMs was significantly vary with image pair used in DEM generation, terrain type and CPs distribution pattern
650 0 _aRemote-sensing images
650 4 _aALOS (Artificial satellites)
650 0 _aArtificial satellites
700 1 _aChen, Xiaoyong,
_eChairperson
700 1 _aKibe, Seishiro,
_eExamination committee
700 1 _aSamarakoon, Lal,
_eExamination Committee
710 2 _aSri Lanka Government,
_eScholarship donor
710 2 _aAIT Fellowship,
_eScholarship donor
810 2 _aAsian Institute of Technology.
_tThesis ;
_vno. RS-09-02
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B03835
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