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Registration Methods for VNREDSat-1 Images
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Yu
May 10, 2017
Education
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36
Registration Methods for VNREDSat-1 Images
My thesis
Yu
May 10, 2017
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Transcript
Registration Methods for VNREDSat-1 Images Nguyen Thac Du K55CA
Outline VNREDSat-1 satellite Problem statement Problem solution Result Conclusion 5/27/2014
2
VNREDSat-1 satellite Launched in May 2013 Monitor and Study Not
much research related to its image datas 5/27/2014 3
VNREDSat-1 Images Panchromatic Multispectral 5/27/2014 4
VNREDSat-1 Images Panchromatic Multispectral Captured at the same scene 5/27/2014
5 2.5m 10m
Registration The Ground PAN region MS region geometric error
Image registration: register MS to the same coordinate of PAN 5/27/2014 6
Proposed Solutions Based on Block Matching Algorithm SIFT and Interpolation
5/27/2014 7 *SIFT: Scale-invariant feature transform
Block Matching Computer Vision methods Determine matching blocks Estimate motion
of each pixel Output: disparity vector matrix 5/27/2014 8
Block Matching 5/27/2014 9 = 1 2 =0 −1 =0
−1 − Use a cost function Least cost means closest matching Target Reference Disparity Vector Macro Block Best Match
5/27/2014 10 Method based on BMA
SIFT Computer Vision methods Detects and describes features in image
Features are distinctive and invariant to transform 5/27/2014 11
5/27/2014 12 Method based on SIFT
5/27/2014 13 Divide Match and Construct Disparity Vector Matrix Upsample
Result 5/27/2014 14 Size of MS Implementation Time BMA SIFT
500x500 pixels 79.36 6.78 1000x1000 pixels 315.47 16.20 1750x1750 pixels 978.89 49.17
5/27/2014 15 Original MS BMA SIFT
5/27/2014 16 Original MS BMA SIFT
Result 5/27/2014 17 Experiment MAD BMA SIFT 1 2.930 11.338
2 3.975 16.580 = 1 2 =0 −1 =0 −1 −
Conclusion BMA High accuracy Slow implementation Color is distorted SIFT
Not corresponding in some part Fast Color is almost preserved 5/27/2014 18
Thank You For Listening!