Texture feature analysis in oil spill monitoring by SAR image

Proceedings - 2012 20th International Conference on Geoinformatics, Geoinformatics 2012

Volumn , Issue , 2012, Pages

  Wei, Lai ^a,b,c   Hu, Zhuowei ^a,b,c   Guo, Meichen ^a,b,c   Jiang, Minbin ^a,b,c   Zhang, Shuo ^a,b,c  

^a CAPITAL NORMAL UNIVERSITY   (China)

^b Key Lab of Resources Environment and GIS   (China)

^c Key Lab of Integrated Disaster Assessment and Risk Governance of the Ministry of Civil Affairs   (China)

Author keywords

Gray Level Co occurrence Matrix (GLCM); parameter of texture; Synthetic Aperture Radar (SAR); texture analysis

Indexed keywords

GRAY LEVEL CO-OCCURRENCE MATRIX; NEURAL NETWORK CLASSIFICATION; SAR IMAGE CLASSIFICATIONS; SAR IMAGES; SPECTRAL INFORMATION; TEXTURE ANALYSIS; TEXTURE EXTRACTION; TEXTURE FEATURES;

NEURAL NETWORKS; OIL SPILLS; TEXTURES;

SYNTHETIC APERTURE RADAR;

EID: 84867121220     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/Geoinformatics.2012.6270284     Document Type: Conference Paper

References (4)

1. YR. Zou, MS. Lin, TB. Ma, HT Zhu, GM. Chen, "SAR Feature Analysis of Oil Spill Based on GLCM", Marine Science Bulletin, vol.29(4), 2010, pp.454-458.
2. XY. Liang, J. Zhang, JM. Meng, "Selection of Texture Characteristics in Classifying Oil Spill SAR Image", Advances in Marine Science, vol.25(3), 2007, pp. 346-254.
3. LS. Zhu, "A Texture Analysis and Neural Network Method for the Classification of SAR Images with Spilled Oil", Dalian Maritime University
4. http://www.esa.int/esaEO/SEMGWH2VQUD-index-0-m.htm