Manfred Ehlers, Monika Gahler, Ronald Janowsky. Auto- mated analysis of ultra high resolution remote sensing data for biotope type mapping: new possibilities and challenges. Photogrammetry&Remote Sensing, 2003, 57 (1) 315-326.
[2]
Paul C S. Multiple classifier systems for supervised remote sensing image classification based on dynamics classifier selection. IEEE Trans. Geosci. Remote Sensing, 2002, 40 (4): 801-813.
[3]
L Bruzzone. An approach to feature selection and classifi- cation of remote sensing images based on the Bayes role for minimum cost. IEEE Trans. Geosci. Remote Sensing, 2000, 38(1): 429-438.
[4]
Chen Jianyu, Guo Defang, Huang Peng. A weighted fuzzy clustering method and its application on multi-date NOAA AVHRR image with cloud covered. Remote Sensing for Land and Resources, 2004, 59(4).
[5]
Bauer M E, et al. Satellite inventory of Minnesota forest resources. Photogrammetric Engineering and Remote Sens- ing, 1994, 60(3): 287-298.
[6]
Liu Yanlan, Yan Shouyong, Wang Tao, Xiao Chunsheng. A study on segmentation-based classification approaches for remotely sensed imagery. Journal of Remote Sensing, 2002, 6(5):357-363.
[7]
Yan Shouyong, Wang Tao, Liu Yalan, Xiao Chunsheng. An interactive image interpretation system and its characteris- tics. Journal of Remote Sensing, 2002, 6(3):47-.53.
[8]
San Miguel Ayanz J, Gregory S B. An iterative classifica- tion approich for mapping natural resources from satellite imagery. Int. J. Remote Sens., 1996, 17(5):957-982.
[9]
San Miguel Ayanz J, Gregory S. B. Comparison of single- stage and multi-stage classification approaches for cover type mapping with TM and SPOT. Remote Sens. Environ., 1997, 59(1):92--104.
