靜止軌道遙感衛(wèi)星海面運動艦船快速檢測方法
doi: 10.11999/JEIT141615
基金項目:
高分辨率對地觀測系統(tǒng)青年創(chuàng)新基金(GFZX04060103)
Ocean Moving Ship Detection Method for Remote Sensing Satellite in Geostationary Orbit
-
摘要: 面向靜止軌道光學遙感衛(wèi)星,該文提出一種海上運動艦船目標快速檢測方法。該方法首先利用多結構多尺度形態(tài)學濾波對海洋背景遙感圖像進行背景抑制;然后采用自適應閾值分割和自組織聚類獲得候選目標;再根據(jù)目標運動特征,利用靜止軌道衛(wèi)星凝視序列圖像對候選目標進行多目標移動式鄰域判決,剔除虛假目標;最后關聯(lián)艦船目標以及融合衛(wèi)星平臺數(shù)據(jù),可快速計算艦船狀態(tài)等深層次動態(tài)信息。實驗結果與分析表明,所提方法能有效檢測海洋背景遙感圖像中的多個運動艦船目標,準確獲取各個艦船位置、航速、航向、運動軌跡等信息,具有算法簡單,目標檢測率高、虛警率低,穩(wěn)定性好等優(yōu)點。該方法為我國靜止軌道光學遙感衛(wèi)星在軌數(shù)據(jù)處理與應用提供了技術支撐。
-
關鍵詞:
- 艦船檢測 /
- 靜止軌道遙感衛(wèi)星 /
- 多運動艦船目標 /
- 運動軌跡
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. -
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. 李亞超, 周瑞雨, 全英匯, 等. 采用自適應背景窗的艦船目標檢測算法[J]. 西安交通大學學報, 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. 焦智灝, 楊健, 葉春茂, 等. 基于雜波區(qū)分度參數(shù)的艦船檢測方法[J]. 系統(tǒng)工程與電子技術, 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. 選擇性視覺注意機制下的多光譜圖像艦船檢測[J]. 計算機輔助設計與圖形學學報, 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. 王衛(wèi)衛(wèi), 席燈炎, 楊塨鵬, 等. 利用結構紋理分解的海洋艦船目標檢測[J]. 西安電子科技大學學報(自然科學版), 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. 龔志成, 曾惠翼, 裴繼紅. 基于鄰域分析的海洋遙感圖像艦船檢測方法[J]. 深圳大學學報(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. 周偉, 關鍵, 何友. 光學遙感圖像低可觀測區(qū)域艦船檢測[J]. 中國圖象圖形學報, 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. 許志濤, 劉金國, 龍科慧, 等. 基于視覺注意機制的海洋監(jiān)視衛(wèi)星圖像艦船目標檢測[J]. 激光與光電子學進展, 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. 馬文偉, 趙永強, 張國華, 等. 基于多結構元素形態(tài)濾波與自適應閾值分割相結合的紅外弱小目標檢測[J]. 光子學報, 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. -
計量
- 文章訪問數(shù): 1651
- HTML全文瀏覽量: 176
- PDF下載量: 627
- 被引次數(shù): 0