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SRTM‐assisted block adjustment for stereo pushbroom imagery
Author(s) -
Zhou Ping,
Tang Xinming,
Wang Zhenming,
Cao Ning,
Wang Xia
Publication year - 2018
Publication title -
the photogrammetric record
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.638
H-Index - 51
eISSN - 1477-9730
pISSN - 0031-868X
DOI - 10.1111/phor.12228
Subject(s) - shuttle radar topography mission , digital elevation model , block (permutation group theory) , remote sensing , terrain , elevation (ballistics) , scale (ratio) , geology , mean squared error , stereo imaging , satellite , geodesy , geography , mathematics , computer science , cartography , artificial intelligence , geometry , engineering , statistics , aerospace engineering
This paper proposes a stereo‐image block‐adjustment algorithm without ground control points ( GCP s) by adopting a Shuttle Radar Topography Mission ( SRTM ) digital elevation model ( DEM ) as a height assistant. Using dense, evenly distributed tie points on images used in the block adjustment, the initial height values of tie points are derived directly from the SRTM DEM . In the subsequent block‐adjustment iterative computation, the height correction value for tie points is rigorously restricted by the SRTM DEM elevation. A total of 509 ZY ‐3 satellite stereo‐images across 190 000 km 2 of China's Hubei Province were used for this block‐adjustment experiment. The results show that the vertical root mean square errors ( RMSE s) are improved from 7·2 to 2·3 m without GCP s, while the RMSE s in flat and mountainous terrain are improved to 1·5 and 2·8 m, respectively, fulfilling the vertical accuracy requirement of China's 1:25 000 scale mapping.