Urban and Non Urban Area Classification by Texture Characteristics and Data Fusion

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 6, Issue , 2003, Pages 3504-3506

  Morales, D I ^a   Moctezuma, M ^a   Parmiggiani, F ^b  

^a UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO   (Mexico)

^b CNR   (Italy)

Author keywords

Co occurrence matrix; Data fusion; Remote sensing imagery; Texture features

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); CORRELATION METHODS; ERROR ANALYSIS; IMAGING SYSTEMS; SENSOR DATA FUSION;

TEXTURE FEATURES;

REMOTE SENSING;

EID: 0242709835     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. R. M. Haralick, K. Shanmugam, and I.Dinstein, "Texture features for image classification," IEEE Trans. Syst. Man Cybern., vol. SMC-3, no. 6, pp. 610-621, 1973.
2. R.M. Haralick, "Statical and structural approaches to texture, " Proc. of the IEEE, vol. 67, no. 5, pp. 786-804, 1979.
3. M. Unser, "Sum and difference histograms for texture classification," IEEE Trans. Pattern Analysis Machine Intel., vol. PAMI-8, no.1, pp. 118-125, 1986.
4. D.A. Clausi, and Yongping Zhao, "Rapid determination of co-occurrence texture features," IEEE IGARSS '01, pp. 1880-1882.
5. Shan YU, "Improving Satellite Image Analysis Quality by Data Fusion," IEEE IGARSS '95pp. 2164-2166.