Journal of Shandong University(Engineering Science) ›› 2015, Vol. 45 ›› Issue (5): 29-35.doi: 10.6040/j.issn.1672-3961.3.2014.033

Previous Articles    

Ship detection in remote sensing image based on the fuzzy fusion of multi-channel Gabor filtering

XIAO Qiao, PEI Jihong*, WANG Lixia, GONG Zhicheng   

  1. College of Information Engineering, Shenzhen University, Shenzhen 518060, Guangdong, China
  • Published:2020-05-26

Abstract: A scheme to sea background suppressing was proposed for ships detection in optical remote sensing images based on the fuzzy fusion of multi-channel Gabor filtering. First, a multi-channel Gabor filter was designed to give output image group. Second, three filtering enhancement evaluations were defined to get the fuzzy evaluation matrix. Third, the fuzzy comprehensive evaluations were calculated and the significant images were selected from filtered output images. Finally, the weights of the significant images were determined and the fused image was given by using weighted sum of these significant images. Experimental results showed that the proposed ship detection algorithm based on fuzzy fusion of multi-channel Gabor filtering could efficiently improve the detection accuracy and significantly reduce false alarm rate.

Key words: remote sensing images, Gabor filters, image enhancement, evaluation index, fuzzy comprehensive evaluation, fusion, ship detection

CLC Number: 

  • TP751.1
[1] SHI Zhenwei, YU Xinran, JIANG Zhiguo, et al. Ship detection in high-resolution optical imagery based on anomaly detector and local shape feature[J]. IEEE Transaction on Geoscience and Remote Sensing, 2014, 52(8):4511-4523.
[2] HUANG Gaopan, WANG Yangqing, ZHANG Yushuang, et al. Ship detection using texture statistics from optical satellite images[C] //2011 International Conference on Digital Image Computing Techniques and Applications. Queensland, Australia: IEEE, 2011:507-512.
[3] 王彦情, 马雷, 田原. 光学遥感图像舰船目标检测与识别综述[J]. 自动化学报, 2011, 37(9):1029-1039. WANG Yanqing, MA Lei, TIAN Yuan. State-of-art of ship detection and recognition in optical remotely sensed imagery[J]. Acta Automatica Sinaca, 2011, 37(9):1029-1039.
[4] 毕福昆, 高立宁, 龙腾, 等. 结合视觉显著性引导与分类器融合的遥感目标检测[J]. 红外与激光工程, 2011, 40(10):2059-2064. BI Fukun, GAO Lining, LONG Teng, et al. Remote sensing target detection based on visual saliency guidance and classifier fusion[J]. Infrared and Laser Engineering, 2011, 40(10):2059-2064.
[5] 唐沐恩, 林挺强, 文贡坚. 遥感图像中舰船检测方法综述[J]. 计算机应用研究, 2011, 28(1):29-36. TANG Muen, LIN Tingqiang, WEN Gongjian. Overview of ship detection methods in remote sensing image[J]. Application Research of Computers, 2011, 28(1):29-36.
[6] 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 Zhenghu, YU Ying, WANG Bin, et al. Visual attention-based ship detection in multispectral imagery[J]. Journal of Computer-Aided Design & Computer Graphics, 2011, 23(3):419-425.
[7] 高立宁, 毕福昆, 龙腾, 等. 一种光学遥感图像海面舰船检测算法[J]. 清华大学学报:自然科学版, 2011, 51(1):105-110. GAO Lining, BI Fukun, LONG Teng, et al. Ship detection algorithm for optical remote sensing images[J]. Journal of Tsinghua University: Science & Tecnology, 2011, 51(1):105-110.
[8] 肖利平, 曹炬, 高晓颖, 等. 复杂海地背景下的舰船目标检测[J]. 光电工程, 2007, 34(6):6-10. XIAO Liping, CAO Ju, GAO Xiaoying, et al. Detection for ship targets in complicated background of sea and land[J]. Opto-Electronic Engineering, 2007, 34(6):6-10.
[9] 周晖, 郭军, 朱长仁, 等. 引入PLSA模型的光学遥感图像舰船检测[J]. 遥感学报, 2010, 14(4):663-680. ZHOU Hui, GUO Jun, ZHU Changren, et al. Ship detection from optical remote sensing images based on PLSA model[J]. Journal of Remote Sensing, 2010, 14(4):663-680.
[10] 王保云, 张荣, 袁圆, 等. 可见光遥感图像中舰船目标检测的多阶阈值分割方法[J]. 中国科技技术大学学报, 2011, 41(4):293-298. WANG Baoyun, ZHANG Rong, YUAN Yuan, et al. A new multi-level threshold segmentation method for ship targets detection in optical remote sensing images[J]. Journal of University of Science and Technology of China, 2011, 41(4):293-298.
[11] 周伟, 关键, 何友, 等. 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):1182-1187. ZHOU Wei, GUAN Jian, HE You, et al. Ship detection from low observable regions in optical remote sensing imagery[J]. Journal of Image ad Graphics, 2012, 17(9):1182-1187.
[12] TAN Min, GU Juanjuan, HU Xueyou, et al. 2-D DHT-based fast Gabor transform for image processing[C] //2010 Second IITA International Conference on Geoscience and Remote Sensing. Qingdao, China: IEEE, 2010:372-375.
[13] RAD G R, SAMIEE K. Fast and modified image segmentation method based on active contours and Gabor filter[C] //2008 3rd International Conference on Information and Communication Technologies. Damascus, Syria: IEEE, 2008:1-5.
[14] 赵海英, 冯月萍. 应用Gabor滤波器和局部边缘概率直方图的全局纹理方向性度量[J]. 光学精密工程, 2010, 18(7):1668-1674. ZHAO Haiying, FENG Yueping. Metric of global texture direction with histogram of local edge probability and Gabor filter[J]. Optics and Precision Engineering, 2010, 18(7):1668-1674.
[15] RAHMANI N, BEHRAD A. Automatic marine targets detection using features based on local Gabor binary pattern histogram sequence[C] //2011 1st International Conference on Computer and Knowledge Engineering. Mashhad, Iran:IEEE, 2011:195-201.
[16] 蔡念, 张国宏, 楼朋旭, 等. 基于形状和纹理的外观设计专利图像检索方法[J]. 山东大学学报:工学版, 2011, 41(2):1-4. CAI Nian, ZHANG Guohong, LOU Pengxu, et al. Image retrieval for a design patent based on shape features and texture features[J]. Journal of Shandong University:Engineering Science, 2011, 41(2):1-4.
[17] 谷多玉, 郭江, 李书晓, 等. 基于Gabor滤波器的航空图像居民区域提取[J]. 北京航空航天大学学报, 2012, 38(1):106-122. GU Duoyu, GUO Jiang, LI Shuxiao, et al. Resident region extraction using Gabor filter in aerial imagery[J]. Journal of Beijing University of Aeronautics and Astronautics, 2012, 38(1):106-122.
[18] RAJADELL O, GARCIA-SEVILLA P, PLA F. Spectral-spatial pixel characterization using Gabor filters for hyperspectral image classification[J]. IEEE Geoscience and Remote Sensing Letters, 2013, 10(4):860-864.
[19] LI Wei, DU Qian. Gabor-filtering-based nearest regularized subspace for hyperspetral image classification[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(4):1012-1022.
[20] 杨泳波, 姜柏军. 利用Gabor小波系数融合进行图像增强的研究[J]. 激光与红外, 2010, 40(10):1121-1124. YANG Yongbo, JIANG Bojun. Research about image enhancement using the integration of Gabor wavele coefficient[J]. Laser & Infrared, 2010, 40(10):1121-1124.
[21] 施鹏, 庄连生, 敖欢欢, 等. 基于视觉感知机理的舰船目标检测[J]. 大气与环境光学学报, 2010, 5(5):373-379. SHI Peng, ZHUANG Liansheng, AO Huanhuan, et al. Ship detection based on human vision perception[J]. Journal of Atmospheric and Environmental Optics, 2010, 5(5):373-379.
[22] 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 Weiwei, XI Dengyan, YANG Gongpeng, et al. Warship target detection algorithm based on cartoon-texture decomposition[J]. Journal of Xidian University:Natural Science, 2012, 39(4):131-137.
[23] 雷琳, 王壮, 粟毅. 基于多尺度Gabor滤波器组的不变特征点提取新方法[J]. 电子学报, 2009, 37(10):2314-2319. LEI Lin, WANG Zhuang, SU Yi. A new invariant feature detector based on multi-scale Gabor filter bank[J]. Acta Electronica Sinica, 2009, 37(10):2314-2319.
[24] 范春年, 张福炎. Gabor相位特征的人脸光照不变量提取[J]. 中国图象图形学报, 2012, 17(5):676-681. FAN Chunnian, ZHANG Fuyan. Illumination invariant extraction on Gabor phase[J]. Journal of Image and Graphics, 2012, 17(5):676-681.
[25] 孔锐, 张冰. Gabor滤波器参数设置[J]. 控制与决策, 2012, 27(8):1276-1280. KONG Rui, ZHANG Bing. Design of Gabor filters’ parameter[J]. Control and Decision, 2012, 27(8):1276-1280.
[26] 李柏年. 模糊数学及其应用[M]. 合肥:合肥工业大学出版社,2007:77-92.
[1] Minghe GAO,Ying ZHANG,Rongrong ZHANG,Zihao HUANG,Linyan HUANG,Fanyu LI,Xin ZHANG,Yanhao WANG. Air quality prediction approach based on integrating forecasting dataset [J]. Journal of Shandong University(Engineering Science), 2020, 50(2): 91-99.
[2] Mingming TIAN,Jihua YE,Shimin WANG,Yejing WAN. A method of multi-sensor data fusion under the complicated environment [J]. Journal of Shandong University(Engineering Science), 2019, 49(3): 32-38.
[3] Qiang ZHANG. Motion control system design of multi-joint snake-like manipulator for nuclear environment [J]. Journal of Shandong University(Engineering Science), 2018, 48(6): 122-131.
[4] Haiyong CHEN,Li YU,Hui LIU,Jiabo YANG,Qidi HU. Solar cell defect images fusion based on empirical wavelet [J]. Journal of Shandong University(Engineering Science), 2018, 48(5): 24-31.
[5] Pu ZHANG,Chang LIU,Yong WANG. Suggestion sentence classification model based on feature fusion and ensemble learning [J]. Journal of Shandong University(Engineering Science), 2018, 48(5): 47-54.
[6] ZHANG Xianhong, ZHANG Chunrui. Image enhancement algorithm based on six dimensional feedforward neural network model [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(4): 10-19.
[7] TANG Leshuang, TIAN Guohui, HUANG Bin. An object fusion recognition algorithm based on DSmT [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(1): 50-56.
[8] ZHOU Zhijie, ZHAO Fujun, HU Changhua, WANG Li, FENG Zhichao, LIU Taoyuan. Failure prognosis method based on evidential reasoning for aerospace relay [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(5): 22-29.
[9] PENG Rongrong, YU Wensheng. The influence of grouting pressure and diffusion features of different grouting materials [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(3): 119-124.
[10] CAO Shengle, YU Cuisong. Research on relative “balance sheet” of water resource [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2016, 46(6): 1-7.
[11] MOU Chunqian, TANG Yan. A novel 3D model retrieval method fusing global and local information [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2016, 46(6): 48-53.
[12] TIAN Feng, LIU Zhuoxuan, SHANG Fuhua, SHEN Xukun, WANG Mei, WANG Haochang. Image annotation refinement based on contextual graph diffusion [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2016, 46(5): 1-6.
[13] WANG Bin, CHANG Faliang, LIU Chunsheng. Traffic sign classification based on multi-feature fusion [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2016, 46(4): 34-40.
[14] LIU Zhijun. Color image encryption algorithm based on complex chaos and affine transform [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2016, 46(4): 1-8.
[15] LIU Fan, CHEN Zehua, CHAI Jing. A new multi-focus image fusion method based on deep neural network model [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2016, 46(3): 7-13.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!