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An Efficient Camouflage Assessment Approach for Remote Sensing Images
| Content Provider | Semantic Scholar |
|---|---|
| Author | Sedaghat, Amin Dehghani, Hamid |
| Copyright Year | 2012 |
| Abstract | In this paper, an efficient method for camouflage assessment in remote sensing images is presented. The proposed method consists of two main partsincluding template matching algorithm and UR-SIFT (Uniform Robust Scale Invariant Feature Transform) feature extraction algorithm. In the first part, the distinctiveness between target and background based on template matching algorithm is computed and using a Gaussian function a quantitative measure is presented for description of target camouflage. In the second part, the detectability rate of the target is investigated based on UR-SIFT algorithm which is animproved version of thewellknownSIFT algorithm. This algorithm has been developed for feature extraction in remote sensing images. If the target has not been extracted using UR-SIFT algorithm, it can be concluded which target are concealed in the itsbackground. The proposed method has been tested using various satellites and aerial remotely sensedimages in four-camouflage status and evaluated based on its performance. The results indicate the appropriate performance of the proposed method in camouflage assessment in remote sensing imagescompared to the Darg operator. |
| Starting Page | 295 |
| Ending Page | 306 |
| Page Count | 12 |
| File Format | PDF HTM / HTML |
| Volume Number | 2 |
| Alternate Webpage(s) | http://adst.ir/article-1-145-en.pdf |
| Alternate Webpage(s) | http://adst.ir/article-1-145-fa.pdf |
| Alternate Webpage(s) | http://adst.ir/files/site1/user_files_981149/aminsedaghat-A-10-177-1-7ac785d.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
