A fast cloud detection approach by integration of image segmentation and support vector machine

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3973 LNCS, Issue , 2006, Pages 1210-1215

  Han, Bo ^a,b   Kang, Lishan ^a   Song, Huazhu ^c  

^a WUHAN UNIVERSITY   (China)

^b Temple University   (United States)

^c WUHAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; DATA ACQUISITION; INTEGRATION; LEARNING SYSTEMS; NEURAL NETWORKS; RADIOMETERS;

COMPUTATIONAL COSTS; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER (MODIS); RADIANCE INFORMATION; SUPPORT VECTOR MACHINES (SVM);

IMAGE SEGMENTATION;

EID: 33745883246     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11760191_176     Document Type: Conference Paper

References (9)

1. Ackerman, S. A., Strabala, K. I., Menzel, W. P., Frey, R. A., Moeller, C. C., Gumley, L. E.: Discriminating Clear-sky from Clouds with MODIS. J. of Geophy. RES-ATMOS. 103 (1998) 32141-32157
2. Azimi-Sadjadi, M.R., Zekavat, S.A.: Cloud Classification Using Support Vector Machines. Proceedings of the 2000 IEEE Geosci. and Remote Sensing Symp., Vol. 2, (2000) 669-671
3. Bankert, R.: Naval Research Laboratory Monterey GOES Cloud Classification (website) (2005) http://www.nrlmry.navy.mil/sat-bin/clouds.cgi.
4. Han,B., Vucetic,S., Braverman, A., Obradovic, Z.: Construction of an Accurate Geospatial Predictby Fusion of Global and Local Models. 8th Int. Conf. on Information Fusion. 2005.
5. Lee, Y., Wahba, G., Ackerman, S.: Cloud Classification of Satellite Radiance Data by Multicategory Support Vector Machines. J. of Atmos. and Oceanic Tech. 21 (2004) 159-169
6. Li, J., Menzel, W.P., Yang, Z., Frey, R.A., Ackerman, S.A.: High-spatial-resolution Surface and Cloud-type Classification from MODIS Multispectral Band Measurements. J. of Appl. Meteorology 42 (2003) 204-226
7. Mazzoni, A.H., Garay, M., Tang, B., Davies, R.: A MISR Cloud-type Classifier Using Reduced Support Vector Machines. Proceedings of the Eighth Workshop on Mining Scientific and Engineering Datasets, SIAM Int. Conf. on Data Mining (2005)
8. Tian, B., Azimi-Sadjadi, M.R., Vonder Haar, T.H., Reinke, D.: Temporal Updating Scheme for Probabilistic Neural Network with Application to Satellite Cloud Classification. IEEE Trans. on Neural Networks 11 (2000) 903-920
9. Vapnik, V.N.: The Nature of Statistical Learning Theory. Springer, New York (1995)