Research for extraction of aquaculture water information in coastal zone using CBERS-02B data based on object-oriented technique

CICC-ITOE 2010 - 2010 International Conference on Innovative Computing and Communication, 2010 Asia-Pacific Conference on Information Technology and Ocean Engineering

Volumn , Issue , 2010, Pages 17-19

  Xue, Zhenshan ^a   Su, Fenzhen ^a   Sun, Xiaoyu ^a   Gao, Yi ^b  

^a INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^b YANTAI INSTITUTE OF COASTAL ZONE RESEARCH   (China)

Author keywords

Aquaculture water; CBERS 02B; Coastal zone; Object oriented technique

Indexed keywords

BROAD APPLICATION; CBERS-02; CLASSIFICATION ACCURACY; COASTAL RESOURCES; ECOLOGICAL ENVIRONMENTS; OBJECT EXTRACTION; OBJECT ORIENTED METHOD; OBJECT ORIENTED TECHNIQUE; REMOTE SENSING TECHNOLOGY; SALT-PEPPER NOISE; SPATIAL FEATURES; SPATIAL REFERENCE; TEXTURAL FEATURE; WATERBODIES;

AGRICULTURE; AQUACULTURE; COASTAL ENGINEERING; COASTAL ZONES; IMAGE SEGMENTATION; INFORMATION TECHNOLOGY; INFORMATION USE; INNOVATION; OBJECT ORIENTED PROGRAMMING; OCEAN ENGINEERING; OCEANOGRAPHY; REMOTE SENSING; WATER RESOURCES;

SOLVENT EXTRACTION;

EID: 77952395112     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CICC-ITOE.2010.11     Document Type: Conference Paper

References (10)

1. Sun Yongjun, Tong Qingxi, Qing Qiming, "The object oriented method for wetland information extraction", Remote Sensing for Land and Resources, China, 2008, pp. 79-83.
2. U. C. Benz, P. Hofmann, G. Willhauck et al, "Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information", ISPRS Journal of Photogrammetry and Remote Sensing, 2004, pp. 239-258.
3. Weiqi Zhou, Austin Troy and Morgan Grove, "Object-based land cover classification and change analysis in the Baltimore metropolitan area using multitemporal high resolution remote sensing data", Sensors, 10 March 2008, pp. 1613-1636.
4. J. Im; J. R. Jensen; J. A. Tullis, "Object-based change detection using correlation image analysis and image segmentation", International Journal of Remote Sensing, 2008, pp. 399-423. (Pubitemid 350269296)
5. Sun Xiaoxia, Zhang Jixian, Liu Zhengjun, "Detect river and road from Ikonos panchromatic data using object oriented classification method", Science of Surveying and Mapping, 2006, pp. 61-63.
6. Cao Bao, Qin Qiming, Ma Haijian et al. Application of object oriented approach to SPOT5 image classification: a case study in Haidian District, Beijing City, Geography and Geo-Information Science, 2006, pp. 46-50.
7. Cheng Jianyu, Pan Delu, Mao Zhihua, "Simple object segmentation near coastal belts in high spatial resolution remote sensing data", Science China, China, 2006, pp. 1044-1051.
8. Zhang Feng, Xue Yanli, Li Yingcheng et al, "Fusion and evaluation of CBERS-02B HR Multi-spectral images", Remote Sensing for Land and Resources, 2008, pp. 43-48.
9. Ke Chen, DeLiang Wang, Xiuwen Liu, "Weight adaptation and oscillatory correlation for image Segmentation", IEEE Transactions on Neural Networks, September 2000, pp. 1106-1123.
10. D. J. Robinson, N. J. Redding, and D. J. Crisp, "Implementation of a fast algorithm for segmenting SAR imagery", Scientific and Technical Report, Australia: Defense Science and Technology Organization, 01 January 2002.