Orthorectification of High-resolution Remote Sensing Image Based on Google Earth and SRTMGL1

doi:10.13474/j.cnki.11-2246.2018.0246

Abstract

Abstract: An orthorectified image correction process was proposed in this study based on Google Earth and SRTMGL1 data to address the absence of measured ground control points.Firstly,homonymous point auto-matching was performed between the warp image and the reference image (Google Earth image) in ENVI 5.3 to obtain a horizontal control point file (PTS).Secondly,under the ArcGIS 10.2 platform,Converting the corrected control point data to ArcGIS point file(SHP)according to the X and Y coordinates of the reference points.Finally,the shapefile data was added with elevation values through overlaying with the SRTMGL1,which made it possible to perform orthorectification with ground control points.Compared with the orthorectification without ground control points,the processing flow adopted in this research can effectively improve the accuracy of image correction and lay a good foundation for the subsequent image mosaic.The root mean square error for image is 2.13.m,which meets the technical standard of 1/5000 scale land use investigation.

Key words: Google Earth image, SRTMGL1, orthorectification, accuracy evaluation, land surveying

CLC Number:

P237

XU Xin, ZHANG Daojun, HOU Xianhui, MA Xiaoyan, WANG Jing. Orthorectification of High-resolution Remote Sensing Image Based on Google Earth and SRTMGL1[J]. 测绘通报, 2018, 0(8): 62-67.

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