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The SPOT HRG images ortho-rectification experiment and precision analysis without GCPs

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TLDR
Based on the principle of ortho-rectification, a theoretical estimation formula of Ortho-Rectification with no GCPs is presented, and the precision of the Ortho Rectification image with the SRTM DEM data is estimated as mentioned in this paper.
Abstract
Based on the principle of Ortho-Rectification,a theoretical estimation formula of Ortho-Rectification with no GCPs is presentedWith this formula,the precision of the Ortho-Rectification image with the SRTM DEM data is estimatedThe result shows that Ortho-Rectification Images produced by HRG image with the support of SRTM DEM have high accuracyUsing this method the DOM of Hangzhou,Chongqing and Daqing region are produced,and their accuracy are evaluated with 1∶ 10 000 topographic mapsThe results prove that the theoretical estimation formula is correct and the precision of the ortho-rectification images meets 1∶ 50 000 mapping accuracy

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BookDOI

Computer and Computing Technologies in Agriculture VIII

Daoliang Li, +1 more
TL;DR: An in vivo, automatic and high-throughput method to estimate the yield of individual pot-grown rice plant using multi-angle RGB imaging and image analysis is presented, with promising results on rice plants grown both in-door and out-door.
Book ChapterDOI

A Method to Determine the Maximum Side Perspective of Satellite with the Constraints of Mapping Accuracy

TL;DR: A method to determine the maximum side perspective with map precision constraints, and set up a conversion relationship among satellite side view, DEM error and image point error is put forward.
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