光谱学与光谱分析 |
|
|
|
|
|
An Object-Oriented Remote Sensing Image Segmentation Approach Based on Edge Detection |
TAN Yu-min1,HUAI Jian-zhu1,TANG Zhong-shi2 |
1. School of Transportation Science & Engineering, Beihang University, Beijing 100191, China 2. Department of Civil Engineering, Tsinghua University, Beijing 100084, China |
|
|
Abstract Satellite sensor technology endorsed better discrimination of various landscape objects. Image segmentation approaches to extracting conceptual objects and patterns hence have been explored and a wide variety of such algorithms abound. To this end, in order to effectively utilize edge and topological information in high resolution remote sensing imagery, an object-oriented algorithm combining edge detection and region merging is proposed. Susan edge filter is firstly applied to the panchromatic band of Quickbird imagery with spatial resolution of 0.61 m to obtain the edge map. Thanks to the resulting edge map, a two-phrase region-based segmentation method operates on the fusion image from panchromatic and multispectral Quickbird images to get the final partition result. In the first phase, a quad tree grid consisting of squares with sides parallel to the image left and top borders agglomerates the square subsets recursively where the uniform measure is satisfied to derive image object primitives. Before the merger of the second phrase, the contextual and spatial information, (e.g., neighbor relationship, boundary coding) of the resulting squares are retrieved efficiently by means of the quad tree structure. Then a region merging operation is performed with those primitives, during which the criterion for region merging integrates edge map and region-based features. This approach has been tested on the QuickBird images of some site in Sanxia area and the result is compared with those of ENVI Zoom and Definiens. In addition, quantitative evaluation of the quality of segmentation results is also presented. Experiment results demonstrate stable convergence and efficiency.
|
Received: 2010-02-08
Accepted: 2010-05-12
|
|
Corresponding Authors:
TAN Yu-min
E-mail: tanym@buaa.edu.cn
|
|
[1] Blaschke T. ISPRS Journal of Photogrammetry and Remote Sensing, 2010, 65(1): 2. [2] Wuest Ben,Zhang Yun. ISPRS Journal of Photogrammetry and Remote Sensing, 2009, 64(1): 55. [3] Giora E, Casco C. Vision Research, 2007, 47: 879. [4] LUO Sheng, CHEN Ping, YE Xin-quan, et al(罗 胜,陈 平,叶忻泉,等). Opto-Electronic Engineering(光电工程), 2008, 35(12): 101. [5] Marina Mueller, Karl Segl, Hermann Kaufmann. Pattern Recognition, 2004, 37(8): 1619. [6] Fan S L, Man Z, Samur R. VRCAI ’04. New York:NY, ACM Press, 2004, June 16-18: 302. [7] CHANG Yu-chou, ZHOU-Yue, WANG Yong-Gang. Lecture Notes in Computer Science, 2005, 3809: 1237. [8] YU Sheng-yang, ZHANG Yan, WANG Yong-gang, et al. Lecture Notes in Computer Science, 2007, 4577: 286. [9] YU Qi-yao, Clausi David A. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008, 30(12): 2126. [10] Rotem O, Greenspan H, Goldberger J. IEEE Conference on Computer Vision and Pattern Recognition(CVPP’07), 2007. 1. [11] HU Tan-gao, ZHU Wen-quan, YANG Xiao-qiong, et al(胡潭高, 朱文泉, 阳小琼, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2009, 29(10): 2703. [12] Dusan Heric, Damjan Zazula. Image and Vision Computing, 2007, 25: 652. [13] Kelkar D, Gupta S. 1st International Conference on Emerging Trends in Engineering and Technology, 2008. 44. [14] TAN Yu-min, HUAI Jian-zhu, TANG Zhong-shi(谭玉敏, 槐建柱, 唐中实). Journal of Dalian Maritime University(大连海事大学学报), 2009, 35(2): 81. [15] Marcal André R S, Rodrigues Arlete S. Computers & Geosciences, 2009, 35(8): 1574.
|
[1] |
GAO Feng1, 2, 3, JIANG Qun-ou1, 2, 3*, XIN Zhi-ming4, XIAO Hui-jie1, 2, LÜ Ke-xin1, QIAO Zhi1. Extraction Method of Oasis Shelterbelt Systems Based on Remote-Sensing Images ——A Case Study of Dengkou County[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3896-3905. |
[2] |
HUANG Shao-dong1, XU Wei-heng1, 2, 3*, XIONG Yuan1, WU Chao1, DAI Fei1, 2, 3, XU Hai-feng1, WANG Lei-guang2, 3, KOU Wei-li1. Combining Textures and Spatial Features to Extract Tea Plantations Based on Object-Oriented Method by Using Multispectral Image[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(08): 2565-2571. |
[3] |
ZHU Jie1, WU Qian1, SHAO Xiao1, YU Xiao-jun2, LIU Lin-bo3, DAI Jia-ning1, MO Jian-hua1*. Conformal Coating Thickness Measurement on Printed Circuit Board With Spectral Domain Optical Coherence Tomography[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(04): 1157-1162. |
[4] |
YUE Jiang1, WANG Zhao-xin1,HAN Jing2, BAI Lian-fa2, LI Bao-ming1*. A Target Extraction Method of Infrared Image Based on Edge and Transition Region[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(06): 1729-1735. |
[5] |
CHEN Chen, LI Xian-li, DING Hui*. A Novel Wavelength Demodulation Technique for Interferometric Fiber Optic Sensor[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(09): 2948-2953. |
[6] |
YIN Lu1, 2,Bayanheshig1*,YAO Xue-feng1,CUI Ji-cheng1,ZHU Ji-wei1,ZHANG Rui1, 2. Algorithm for Background Removal in Spectral Image of Echelle Spectrometer[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(06): 1925-1929. |
[7] |
ZHAO Wen-zhi1, LUO Li-qun1, 2, GUO Zhou1, YUE Jun1, YU Xue-ying3, LIU Hui1, WEI Jing4 . Road Extraction in Remote Sensing Images Based on Spectral and Edge Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 35(10): 2814-2819. |
[8] |
CHEN Qiang1, 2, CHEN Yun-hao1, 2*, JIANG Wei-guo1, 3 . The Change Detection of High Spatial Resolution Remotely Sensed Imagery Based on OB-HMAD Algorithm and Spectral Features[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 35(06): 1709-1714. |
[9] |
WANG Xin, ZHANG Xiao-dong . Laser and Vision Measurement Research on Parameters of Miniature Quartz Plate-Sensitive Glass Part [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(06): 1450-1455. |
[10] |
LIU Kai1, ZHANG Li-fu1*, YANG Hang1, ZHU Hai-tao1, JIANG Hai-ling2, LI Yao1 . Hyperspectral Unstructured Background Target Detection Approach Based on Object-Oriented Analysis [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(06): 1653-1657. |
[11] |
CHEN Chao1, QIN Qi-ming1*, CHEN Li1, WANG Jin-liang1, LIU Ming-chao1, WEN Qi2 . Extraction of Bridge over Water from High-Resolution Remote Sensing Images Based on Spectral Characteristics of Ground Objects [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(03): 718-722. |
[12] |
WU Gui-ping1, XIAO Peng-feng2, FENG Xue-zhi2, WANG Ke3 . A Method of Object Detection for Remote Sensing Imagery Based on Spectral Space Transformation[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(03): 741-745. |
[13] |
FANG Jiang-xiong1, TU En-mei1, YANG Jie1, JIA Zhen-hong2, Nikola Kasabov3 . Narrow Band Multi-Region Level Set Method for Remote Sensing Image [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2011, 31(11): 3001-3005. |
[14] |
KUANG Hai-peng1, WANG De-jiang1,2, ZHOU Gang1. High Speed Transmission System for Dual-Spectral Remote Sensing System[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2011, 31(06): 1654-1657. |
[15] |
WU Jian, PENG Dao-li* . Tree-Crown Information Extraction of Farmland Returned to Forests Using QuickBird Image Based on Object-Oriented Approach [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2010, 30(09): 2533-2536. |
|
|
|
|