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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Liya Zhou Zhiyuan Qin |
| Copyright Year | 2011 |
| Description | Author affiliation: Institute of Surveying and Mapping, Information Engineering University. Zhengzhou, China (Liya Zhou; Zhiyuan Qin) |
| Abstract | Haze is an important influence factor of visible light RS data's obtaining and using. Based on dark channel prior and haze image model, this paper studies the dehaze technology from a single satellite RS image. Aim at the characteristic of uneven cloud in satellite RS image and the problem of the unreasonable estimate for airlight in dehaze method, this paper designed a new method for airlight computing, which did not reduce the image definition in clear area. This method joined the information of cloud density, and the result have no over processing and ill-processing problem. At last, using medium-resolution image and high-resolution image to make system experiment, the result is effective. |
| Starting Page | 5485 |
| Ending Page | 5488 |
| File Size | 935783 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424494361 |
| e-ISBN | 9781424494392 |
| DOI | 10.1109/MACE.2011.5988266 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-07-15 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Satellites Filtering Clouds Digital images Image Definition Medical services Dark Channel Prior Uneven Cloud and fog Helium Remote sensing Haze Image Model |
| Content Type | Text |
| Resource Type | Article |
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