Automatic image matching and georeferencing of digitized historical aerial photographs

I. Wen Chen, Hou Ren Chen, Yi-Hsing Tseng

研究成果: Conference contribution

摘要

Historical aerial photographs can directly witness the historical landscape environment and link to the spatial information in the past. Which are important information sources to evaluate the temporal spatial evolution of zones of interest. In Taiwan, abundant historical aerial images have been acquired and archived by Research Center for Humanities and Social Sciences (RCHSS) of Academia Sinica. However, camera report of images was usually confidential. Most of the historical aerial images haven't been registered since there was no precise POS system for orientation assisting in the past. To handle such great quantity of images, this study was processed through methods of computer vision. Image features were extracted and matched by Scale Invariant Feature Transform (SIFT). To improve matching accuracy and efficiency of conjugate points, an improved Random Sample Consensus (RANSAC) was promoted by considering the error and recording the largest areas covered by randomly sampling points. Then, according to adjacency matrix, the relationships of conjugate points were established and stored. After image matching and alignment automatically, the relative orientation of images can be acquired. For registration, control points are needed to be added to do network adjustment based on 2D coordinate transformation (2D affine and 2D projective). Finally, those feature points matched by this procedure can be used to build control image database, and all computation is based on point data instead of image data. Also, further study such as multi-temporal environmental changes can be investigated by using this temporal spatial data system.

原文English
主出版物標題37th Asian Conference on Remote Sensing, ACRS 2016
發行者Asian Association on Remote Sensing
頁面1100-1108
頁數9
ISBN(電子)9781510834613
出版狀態Published - 2016 一月 1
事件37th Asian Conference on Remote Sensing, ACRS 2016 - Colombo, Sri Lanka
持續時間: 2016 十月 172016 十月 21

出版系列

名字37th Asian Conference on Remote Sensing, ACRS 2016
2

Other

Other37th Asian Conference on Remote Sensing, ACRS 2016
國家Sri Lanka
城市Colombo
期間16-10-1716-10-21

指紋

Image matching
Antennas
Social sciences
Computer vision
Cameras
Mathematical transformations
Sampling

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

引用此文

Chen, I. W., Chen, H. R., & Tseng, Y-H. (2016). Automatic image matching and georeferencing of digitized historical aerial photographs. 於 37th Asian Conference on Remote Sensing, ACRS 2016 (頁 1100-1108). (37th Asian Conference on Remote Sensing, ACRS 2016; 卷 2). Asian Association on Remote Sensing.
Chen, I. Wen ; Chen, Hou Ren ; Tseng, Yi-Hsing. / Automatic image matching and georeferencing of digitized historical aerial photographs. 37th Asian Conference on Remote Sensing, ACRS 2016. Asian Association on Remote Sensing, 2016. 頁 1100-1108 (37th Asian Conference on Remote Sensing, ACRS 2016).
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abstract = "Historical aerial photographs can directly witness the historical landscape environment and link to the spatial information in the past. Which are important information sources to evaluate the temporal spatial evolution of zones of interest. In Taiwan, abundant historical aerial images have been acquired and archived by Research Center for Humanities and Social Sciences (RCHSS) of Academia Sinica. However, camera report of images was usually confidential. Most of the historical aerial images haven't been registered since there was no precise POS system for orientation assisting in the past. To handle such great quantity of images, this study was processed through methods of computer vision. Image features were extracted and matched by Scale Invariant Feature Transform (SIFT). To improve matching accuracy and efficiency of conjugate points, an improved Random Sample Consensus (RANSAC) was promoted by considering the error and recording the largest areas covered by randomly sampling points. Then, according to adjacency matrix, the relationships of conjugate points were established and stored. After image matching and alignment automatically, the relative orientation of images can be acquired. For registration, control points are needed to be added to do network adjustment based on 2D coordinate transformation (2D affine and 2D projective). Finally, those feature points matched by this procedure can be used to build control image database, and all computation is based on point data instead of image data. Also, further study such as multi-temporal environmental changes can be investigated by using this temporal spatial data system.",
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Chen, IW, Chen, HR & Tseng, Y-H 2016, Automatic image matching and georeferencing of digitized historical aerial photographs. 於 37th Asian Conference on Remote Sensing, ACRS 2016. 37th Asian Conference on Remote Sensing, ACRS 2016, 卷 2, Asian Association on Remote Sensing, 頁 1100-1108, 37th Asian Conference on Remote Sensing, ACRS 2016, Colombo, Sri Lanka, 16-10-17.

Automatic image matching and georeferencing of digitized historical aerial photographs. / Chen, I. Wen; Chen, Hou Ren; Tseng, Yi-Hsing.

37th Asian Conference on Remote Sensing, ACRS 2016. Asian Association on Remote Sensing, 2016. p. 1100-1108 (37th Asian Conference on Remote Sensing, ACRS 2016; 卷 2).

研究成果: Conference contribution

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Chen IW, Chen HR, Tseng Y-H. Automatic image matching and georeferencing of digitized historical aerial photographs. 於 37th Asian Conference on Remote Sensing, ACRS 2016. Asian Association on Remote Sensing. 2016. p. 1100-1108. (37th Asian Conference on Remote Sensing, ACRS 2016).