| Presentation | 2018-11-08 A Novel Method Using Convolutional Neural Network for Polarimetric SAR ship detection Kan Jin, Junjun Yin, Jian Yang, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper presents a novel approach for ship detection in polarimetric synthetic aperture radar (POLSAR) image with the help of convolutional neural network(CNN). Unlike optical images, lower resolution in POLSAR image leads directly to the result that ship especially the small one has fewer pixels than those in optical images. So architectures which pay more attention on the ship itself cannot do well in this work. The proposed convolutional neural network not only pay attention to the ship itself but also pay attention to its surroundings. A patch of sufficient size which contains both ship and surroundings is used as the input of the neural network to determine whether the pixel in the center of the patch is ship or not. In order to use contextual semantic information at all levels, the center pixels of all feature maps from top to down are added to get a fused feature. The proposed approach is tested on POLSAR images. The results show that the proposed approach can achieve a better performance than previous work on this problem. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | ship detection / convolutional neural network / polarimetric synthetic aperture radar(POLSAR) |
| Paper # | SANE2018-60 |
| Date of Issue | 2018-11-01 (SANE) |
| Conference Information | |
| Committee | SANE |
|---|---|
| Conference Date | 2018/11/7(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | China (Xuchang) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | ICSANE2018 |
| Chair | Sonosuke Fukushima(ENRI) |
| Vice Chair | Toshifumi Moriyama(Nagasaki Univ.) / Akitsugu Nadai(NICT) |
| Secretary | Toshifumi Moriyama(ENRI) / Akitsugu Nadai(Univ. of Electro-Comm.) |
| Assistant | Ryo Natsuaki(Univ. of Tokyo) / Masato Yamanashi(Mitsubishi Space Software) / Takeshi Amishima(Mitsubishi Electric) |
| Paper Information | |
| Registration To | Technical Committee on Space, Aeronautical and Navigational Electronics |
|---|---|
| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Novel Method Using Convolutional Neural Network for Polarimetric SAR ship detection |
| Sub Title (in English) | |
| Keyword(1) | ship detection |
| Keyword(2) | convolutional neural network |
| Keyword(3) | polarimetric synthetic aperture radar(POLSAR) |
| 1st Author's Name | Kan Jin |
| 1st Author's Affiliation | Tsinghua University(Tsinghua Univ.) |
| 2nd Author's Name | Junjun Yin |
| 2nd Author's Affiliation | Tsinghua University(Tsinghua Univ.) |
| 3rd Author's Name | Jian Yang |
| 3rd Author's Affiliation | Tsinghua University(Tsinghua Univ.) |
| Date | 2018-11-08 |
| Paper # | SANE2018-60 |
| Volume (vol) | vol.118 |
| Number (no) | SANE-287 |
| Page | pp.pp.27-30(SANE), |
| #Pages | 4 |
| Date of Issue | 2018-11-01 (SANE) |