Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1117/12.2303934 |
Image Registration and Change Detection for Artifact Detection in Remote Sensing Imagery | |
Zelinski, Michael E.1; Henderson, John R.1; Held, Elizabeth L.2 | |
通讯作者 | Zelinski, Michael E. |
会议名称 | 24th SPIE Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery |
会议日期 | APR 17-19, 2018 |
会议地点 | Orlando, FL |
英文摘要 | Image registration is used by the remote sensing community to align images for the purposes of examining changes in a scene. The application in this paper involves finding anomalies associated with human activity for the purpose of detecting underground nuclear explosions. This paper presents a non-rigid image registration algorithm that can be easily implemented using publicly available tools such as python, numpy, scipy, openCV and SIFT. SIFT is used to find feature correspondences between images. An approach based on Mahalanobis distance is used find a subset of robust correspondences. Comparisons are made to the RANSAC algorithm. The imagery was collected by DigitalGlobe's Worldview-II satellite. One image pair is orthorectified. A second image pair is only geo-registered. Both image pairs were collected over mountainous desert regions, the second image pair has much rougher terrain and presents a challenging situation. The non-rigid property of the image registration algorithm allows for robust registration in mountainous terrain under different viewing geometries. Image differencing of the PAN-chromatic band is used to find changes, some of which are shown in detail for both sets of images. Overall registration improvement is quantified by using the standard deviation of the difference image. The non-rigid warping map was also applied to the multispectral bands of the DigitalGlobe data. This dataset made use of a multivariate change detection algorithm that incorporates the spectral properties of each pixel. |
英文关键词 | non-rigid image registration change detection multispectral remote sensing |
来源出版物 | ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XXIV |
ISSN | 0277-786X |
EISSN | 1996-756X |
出版年 | 2018 |
卷号 | 10644 |
EISBN | 978-1-5106-1800-8 |
出版者 | SPIE-INT SOC OPTICAL ENGINEERING |
类型 | Proceedings Paper |
语种 | 英语 |
国家 | USA |
收录类别 | CPCI-S |
WOS记录号 | WOS:000452661700034 |
WOS类目 | Remote Sensing ; Optics ; Imaging Science & Photographic Technology ; Spectroscopy |
WOS研究方向 | Remote Sensing ; Optics ; Imaging Science & Photographic Technology ; Spectroscopy |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/307301 |
作者单位 | 1.Lawrence Livermore Natl Lab, 7000 East Ave, Livermore, CA 94550 USA; 2.Oak Ridge Natl Lab, 1 Bethel Valley Rd, Oak Ridge, TN 37830 USA |
推荐引用方式 GB/T 7714 | Zelinski, Michael E.,Henderson, John R.,Held, Elizabeth L.. Image Registration and Change Detection for Artifact Detection in Remote Sensing Imagery[C]:SPIE-INT SOC OPTICAL ENGINEERING,2018. |
条目包含的文件 | 条目无相关文件。 |
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