完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Teo, Tee-Ann | en_US |
dc.date.accessioned | 2014-12-08T15:20:59Z | - |
dc.date.available | 2014-12-08T15:20:59Z | - |
dc.date.issued | 2011-12-01 | en_US |
dc.identifier.issn | 0099-1112 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/14914 | - |
dc.description.abstract | This paper presents three bias-compensated models for the geometric correction of high-resolution satellite images. The proposed models include the bias-compensated rigorous sensor model (RSM) in the orbital space, the bias-compensated RSM in the image space, and the bias-compensated rational function model (RFM) in the image space. The RSM and RSM use the on-board data and sensor-oriented rational polynomial coefficients (RPCs) provided in imagery metadata respectively. Test images include Quick Bird, World View-1, and World View-2 Basic images. Experimental results indicate that the bias-compensated RSM using the zero order polynomials function in the orbital space provides higher accuracy. A comparison of the bias-compensated RSM and RFM in the image space shows that these models behave similarly, and the Maximum difference in root-mean-square error is less than 0.1 m. These results show that all the proposed methods obtain accuracy of better than 1 pixel, except for the translation in the image space. | en_US |
dc.language.iso | en_US | en_US |
dc.title | Bias Compensation in a Rigorous Sensor Model and Rational Function Model for High-Resolution Satellite Images | en_US |
dc.type | Article | en_US |
dc.identifier.journal | PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING | en_US |
dc.citation.volume | 77 | en_US |
dc.citation.issue | 12 | en_US |
dc.citation.spage | 1211 | en_US |
dc.citation.epage | 1220 | en_US |
dc.contributor.department | 土木工程學系 | zh_TW |
dc.contributor.department | Department of Civil Engineering | en_US |
dc.identifier.wosnumber | WOS:000297659900006 | - |
dc.citation.woscount | 9 | - |
顯示於類別: | 期刊論文 |