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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hangye Liu Jingyu Yang Hangye Liu Jian Zhang |
| Copyright Year | 2010 |
| Description | Author affiliation: Beijing Universal Information, Application Development Center, Beijing, PR. China (Jian Zhang) || Dept. of Remote Sensing Information, Engineering, Zhengzhou Institute of Mapping and, Surveying, Zhengzhou, PR. China (Hangye Liu; Jingyu Yang) || Jiangxi Province Key Lab for Digital, Land, East China Institute of Technology, Fuzhou, PR. China (Hangye Liu) |
| Abstract | Ortho-rectification of remotely sensed image is one of the most important processing steps in photogrammetry. As the data of remotely sensed image become larger and larger, the computation of ortho-rectification increases greatly. Parallel processing technology can quicken the processing speed of image ortho-rectification. Based on the analysis of ortho-rectification algorithm and intuitionistic parallel ortho-rectification algorithm, a parallel algorithm oriented to massive remotely sensed ortho-rectification was given. Through the overlap of computation and data transmission, processing speed was improved, and by local caching and prior searching, redundant data transmission was avoided. It is proved by experiment that, in a fast network, this algorithm can achieve good performance and is well scalable, and is suitable for fast processing of massive image in photogrammetry. |
| Starting Page | 2080 |
| Ending Page | 2084 |
| File Size | 380449 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424465132 |
| e-ISBN | 9781424465163 |
| DOI | 10.1109/CISP.2010.5646766 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Interpolation Tiles Cluster Computing Ortho-Rectification Collinearity Equation Parallel processing Aerospace electronics Data Partitioning Load Balancing Data communication Pixel Remote sensing |
| Content Type | Text |
| Resource Type | Article |
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