Object-based spatial feature for classification of very high resolution remote sensing images

IEEE Geoscience and Remote Sensing Letters

Volumn 10, Issue 6, 2013, Pages 1572-1576

  Zhang, Penglin ^a   Lv, Zhiyong ^a   Shi, Wenzhong ^b  

^a WUHAN UNIVERSITY   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Classification of very high resolution (VHR) image; object correlative index (OCI); spatial feature; spectral feature

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFICATION APPROACH; OBJECT CORRELATIVE INDEX (OCI); SPATIAL FEATURES; SPATIAL INFORMATIONS; SPECTRAL FEATURE; VERY HIGH RESOLUTION; VERY HIGH RESOLUTION (VHR) IMAGE;

MATHEMATICAL MORPHOLOGY;

IMAGE CLASSIFICATION;

EID: 84886592063     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2013.2262132     Document Type: Article

References (18)

1. X. Huang, L. Zhang, and P. Li, "Classification and extraction of spatial features in urban areas using high-resolution multispectral imagery IEEE Geosci. Remote Sens. Lett., vol. 4, no. 2, pp. 260-264, Apr. 2007 (Pubitemid 46645144)
2. L. Zhang, X. Huang, B. Huang, and P. Li, "A pixel shape index coupled with spectral information for classification of high spatial resolution remotely sensed imagery IEEE Trans. Geosci. Remote Sens., vol. 44, no. 10, pp. 2950-2961, Oct. 2006
3. F. Dell'Acqua, P. Gamba, A. Ferrari, J. A. Palmason, J. A. Benediktsson, and K. Arnason, "Exploiting spectral and spatial information in hyperspectral urban data with high resolution IEEE Geosci. Remote Sens. Lett., vol. 1, no. 4, pp. 322-326, Oct. 2004
4. M. Fauvel, J. A. Benediktsson, J. Chanussot, and J. R. Sveinsson, "Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles IEEE Trans. Geosci. Remote Sens., vol. 46, no. 11, pp. 3804-3814, Nov. 2008
5. Y. O. Ouma, J. Tetuko, and R. Tateishi, "Analysis of co-occurrence and discrete wavelet transform textures for differentiation of forest and nonforest vegetation in very-high-resolution optical-sensor imagery Int. J. Remote Sens., vol. 29, no. 12, pp. 3417-3456, Jun. 2008 (Pubitemid 351917174)
6. A. K. Shackelford and C. H. Davis, "A hierarchical fuzzy classification approach for high-resolution multispectral data over urban areas IEEE Trans. Geosci. Remote Sens., vol. 41, no. 9, pp. 1920-1932, Sep. 2003
7. F. Agüera, F. J. Aguilar, and M. A. Aguilar, "Using texture analysis to improve per-pixel classification of very high resolution images for mapping plastic greenhouses ISPRS J. Photogramm. Remote Sens., vol. 63, no. 6, pp. 635-646, Nov. 2008
8. R. Bellens, S. Gautama, L. Martinez-Fonte,W. Philips, J. C.-W. Chan, and F. Canters, "Improved classification of VHR images of urban areas using directional morphological profiles IEEE Trans. Geosci. Remote Sens., vol. 46, no. 10, pp. 2803-2813, Oct. 2008
9. M. Pesaresi and J. A. Benediktsson, "A new approach for the morphological segmentation of high-resolution satellite imagery IEEE Trans. Geosci. Remote Sens., vol. 39, no. 2, pp. 309-320, Feb. 2001 (Pubitemid 32270994)
10. Y. Tang, L. Zhang, and X. Huang, "Object-oriented change detection based on the Kolmogorov-Smirnov test using high-resolution multispectral imagery Int. J. Remote Sens., vol. 32, no. 20, pp. 5719-5740, Oct. 2011
11. E. Pagot, M. Pesaresi, D. Buda, and D. Ehrlich, "Development of an object-oriented classification model using very high resolution satellite imagery for monitoring diamond mining activity Int. J. Remote Sens., vol. 29, no. 2, pp. 499-512, Jan. 2008 (Pubitemid 350269302)
12. P. Soille, Morphological Image Analysis: Principles and Applications. New York, NY, USA: Springer-Verlag, 2003
13. X. Huang and L. Zhang, "An adaptive mean-shift analysis approach for object extraction and classification from urban hyperspectral imagery IEEE Trans. Geosci. Remote Sens., vol. 46, no. 12, pp. 4173-4185, Dec. 2008
14. M. Chini, F. Pacifici, W. J. Emery, N. Pierdicca, and F. Del Frate, "Comparing statistical and neural network methods applied to very high resolution satellite images showing changes in man-made structures at rocky flats IEEE Trans. Geosci. Remote Sens., vol. 46, no. 6, pp. 1812-1821, Jun. 2008 (Pubitemid 351711219)
15. J. D. Paola and R. A. Schowengerdt, "A detailed comparison of backpropagation neural network and maximum-likelihood classifiers for urban land use classification IEEE Trans. Geosci. Remote Sens., vol. 33, no. 4, pp. 981-996, Jul. 1995
16. M. Volpi, D. Tuia, F. Bovolo, M. Kanevski, and L. Bruzzone, "Supervised change detection in VHR images using contextual information and support vector machines Int. J. Appl. Earth Observ. Geoinf., vol. 20, pp. 77-85, Feb. 2013
17. D. Tuia, F. Pacifici, M. Kanevski, and W. J. Emery, "Classification of very high spatial resolution imagery using mathematical morphology and support vector machines IEEE Trans. Geosci. Remote Sens., vol. 47, no. 11, pp. 3866-3879, Nov. 2009
18. M. Cao, G. Liu, and X. Zhang, "An object-oriented approach to map wetland vegetation: A case study of yellow river delta in Proc. IEEE IGARSS, 2007, pp. 4585-4587 (Pubitemid 351243777)