Abstract
An Efficient target recognition method for remote sensing image is proposed in this paper, which is based on moment invariant and support vector machine. First, seven Hu's invariant moments are extracted as a feature vector. Then, a support vector machine is used to recognize targets of planes and ships on binary remote sensing images. The experimental results show that the new method can obtain better recognition results. Moreover, it is observed that the range of the binary values of image affects directly the performance of recognition.
| Original language | English |
|---|---|
| Pages (from-to) | 796-800 |
| Number of pages | 5 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 4875 |
| Issue number | 2 |
| DOIs | |
| State | Published - 2002 |
| Event | Second International Conference on Image and Graphics - Hefei, China Duration: 16 Aug 2002 → 18 Aug 2002 |
Keywords
- Image recognition
- Moment invariant
- Remote sensing
- Support vector machine
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