静止轨道遥感卫星海面运动舰船快速检测方法

doi:10.11999/JEIT141615

静止轨道遥感卫星海面运动舰船快速检测方法

doi: 10.11999/JEIT141615

基金项目:

高分辨率对地观测系统青年创新基金(GFZX04060103)

计量
- 文章访问数: 1624
- HTML全文浏览量: 175
- PDF下载量: 626
- 被引次数: 0
出版历程
- 收稿日期: 2014-12-18
- 修回日期: 2015-03-25
- 刊出日期: 2015-08-19

Ocean Moving Ship Detection Method for Remote Sensing Satellite in Geostationary Orbit

摘要

摘要: 面向静止轨道光学遥感卫星，该文提出一种海上运动舰船目标快速检测方法。该方法首先利用多结构多尺度形态学滤波对海洋背景遥感图像进行背景抑制；然后采用自适应阈值分割和自组织聚类获得候选目标；再根据目标运动特征，利用静止轨道卫星凝视序列图像对候选目标进行多目标移动式邻域判决，剔除虚假目标；最后关联舰船目标以及融合卫星平台数据，可快速计算舰船状态等深层次动态信息。实验结果与分析表明，所提方法能有效检测海洋背景遥感图像中的多个运动舰船目标，准确获取各个舰船位置、航速、航向、运动轨迹等信息，具有算法简单，目标检测率高、虚警率低，稳定性好等优点。该方法为我国静止轨道光学遥感卫星在轨数据处理与应用提供了技术支撑。
- 舰船检测 /
- 静止轨道遥感卫星 /
- 多运动舰船目标 /
- 运动轨迹
Abstract: A moving ship detection method is presented for ocean moving objects detection of remote sensing satellite in geostationary orbit. First, the multi-structural and multiscale element morphological filter is used to suppress background information of oceanic remote sensing images. Then, image segmentation is done by adopting the adaptive threshold algorithm. Accordingly, the connected domains of pre-detection targets are obtained by utilizing self-organized clustering. Finally, real targets from many candidate targets can be obtained by multi-object variable region decision based on moving targets feature. The experiment results and analysis show that the proposed method can detect moving warship targets and the trajectories of moving targets efficiently, and has high detection probability and robustness. This method provides technical support for on-board image processing of remote sensing satellite in geostationary orbit.
- Ship detection /
- Remote sensing satellite in geostationary orbit /
- Multiple moving ship targets /
- Moving trajectory

HTML全文

参考文献(24)

Hou Biao, Chen Xing-zhong, and Jiao Li-cheng. Multilayer CFAR detection of ship targets in very high resolution SAR images[J]. IEEE Geoscience and Remote Sensing Letters, 2014, 12(4): 811-815.

Pasquale I, Martin C, Raffaella G, et al.. Ship-detection in SAR imagery using low pulse repetition frequency radar[C]. 10th European Conference on Synthetic Aperture Radar, Berlin, 2014: 1-4.

Wei Ju-jie, Li Ping-xiang, and Yang jie. A new automatic ship detection method using L-band polarimetric SAR imagery[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(4): 1383-1393.

李亚超, 周瑞雨, 全英汇, 等. 采用自适应背景窗的舰船目标检测算法[J]. 西安交通大学学报, 2013, 47(6): 25-30.

Li Ya-chao, Zhu Rui-yu, Quan Ying-hui, et al.. An algorithm of ship target detection based on the adaptive background window function[J]. Journal of Xi,an Jiaotong University, 2013, 47(6): 25-30.

焦智灏, 杨健, 叶春茂, 等. 基于杂波区分度参数的舰船检测方法[J]. 系统工程与电子技术, 2014(8): 1488-1493.

Jiao Zhi-hao, Yang Jian, Ye Chun-mao, et al.. Ship detection method based on distinction parameter between areas of targets and clutters[J]. Systems Engineering and Electronics, 2014(8): 1488-1493.

Jubelin G and Khenchaf A. Multiscale algorithm for ship detection in mid, high and very high resolution optical imagery[C]. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Quebec City, 2014: 2289-2292.

Song Zhi-na, Sui Hai-gang, and Wang Yu-jie. Automatic ship detection for optical satellite images based on visual attention model and LBP[C]. IEEE Workshop on Electronics, Computer and Applications, Ottawa, 2014: 722-725.

Liu Ge, Zhang Ya-sen, Zheng Xin-wei, et al.. A new method on inshore ship detection in high-resolution satellite images using shape and context information[J]. IEEE Geoscience and Remote Sensing Letters, 2014, 11(3): 617-621.

丁正虎, 余映, 王斌, 等. 选择性视觉注意机制下的多光谱图像舰船检测[J]. 计算机辅助设计与图形学学报, 2011, 23(3): 419-425.

Ding Zheng-hu, Yu Ying, Wang Bin, et al.. Visual attention- based ship detection in multi-spectral imagery[J]. Journal of Computer-Aided Design Computer Graphics, 2011, 23(3): 419-425.

王卫卫, 席灯炎, 杨塨鹏, 等. 利用结构纹理分解的海洋舰船目标检测[J]. 西安电子科技大学学报(自然科学版), 2012, 39(4): 131-137.

Wang Wei-wei, Xi Deng-yan, Yang Gong-peng, et al.. Warship target detection algorithm based on cartoon-texture decomposition[J]. Journal of Xidian University (Natural Science), 2012, 39(4): 131-137.

龚志成, 曾惠翼, 裴继红. 基于邻域分析的海洋遥感图像舰船检测方法[J]. 深圳大学学报(理工版), 2013, 30(6): 584-591.

Gong Zhi-cheng, Zeng Hui-yi, and Pei Ji-hong. A method for ship detection based on neighborhood characteristics in remote sensing image[J]. Journal of Shenzhen University (Science Engineering), 2013, 30(6): 584-591.

周伟, 关键, 何友. 光学遥感图像低可观测区域舰船检测[J]. 中国图象图形学报, 2012, 17(9): 1181-1187.

Zhou Wei, Guan Jian, and He You. Ship detection from low observable regions in optical remote sensing imagery[J]. Journal of Image and Graphics, 2012, 17(9): 1181-1187.

许志涛, 刘金国, 龙科慧, 等. 基于视觉注意机制的海洋监视卫星图像舰船目标检测[J]. 激光与光电子学进展, 2013, 50(12): 1001-1009.

Xu Zhi-tao, Liu Jin-guo, Long Ke-hui, et al.. Ship targets detection of ocean surveillance satellite images based on visual attention[J]. Laser Optoelectronics Progress, 2013, 50(12): 1001-1009.

Su Li, Zhou Na, Xu Cong-ying, et al.. On the small ship target detection based on panoramic vision[C]. 32nd Chinese Control Conference (CCC), Xian, 2013: 3575-3579.

Bin Jin, Yu Cong, Wei Zhou, et al.. A new method for detection of ship docked in harbor in high resolution remote sensing image[C]. International Conference on Progress in Informatics and Computing (PIC), Shanghai, 2014: 341-344.

马文伟, 赵永强, 张国华, 等. 基于多结构元素形态滤波与自适应阈值分割相结合的红外弱小目标检测[J]. 光子学报, 2011, 40(7): 1020-1024.

Ma Wen-wei, Zhao Yong-qiang, Zhang Guo-hua, et al.. Infrared dim target detection based on multi-structural element morphological filter combined with adaptive threshold segmentation[J]. Acta Photonica Sinica, 2011, 40(7): 1020-1024.

施引文献

资源附件(0)

访问统计