The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B4. Beijing 2008 
remotely sensed imagery. International Journal of Remote 
Sensing, 26(22), pp. 5149-5159. 
Lia, Y., Vodacek, A., Zhua, Y., 2007. An automatic statistical 
segmentation algorithm for extraction of fire and smoke regions. 
Remote Sensing of Environment, 108(2), pp. 171-178. 
Pal, S.K., Ghosh, A., Shankar, B.U., 2000. Segmentation of 
Remotely Sensed Images with Fuzzy Thresholding, and 
Quantitative Evaluation. International Journal of Remote 
Sensing, 21(11), pp. 2269-2300. 
Pekkarinen, A., 2002. A method for the segmentation of very 
high spatial resolution images of forested landscapes. Inter 
national Journal of Remote Sensing, 23(14), pp. 2817-2836. 
Pesaresi, M., Benediktsson, J.A., 2001. A new approach for the 
morphological segmentation of high-resolution satellite imagery. 
IEEE Transactions on Geoscience and Remote Sensing, 39(2), 
pp. 309-320. 
Ryherd, S., Woodcock, C., 1996. Combining spectral and 
texture data in the segmentation of remotely sensed images. 
Photogrammetric Engineering & Remote Sensing, 62(2), pp. 
181-194. 
Sapiro, G., Ringach, D.L., 1996. Anisotropic Diffusion of 
Multivalued Images with Applications to Color Filtering. IEEE 
Transactions on Image Processing, 5(11), pp. 1582-1586. 
Sarkar, A., Biswas, M.K., Kartikeyan, B., Kumar, V., 
Majumder, K.L., Pal, D.K., 2002. A MRF model-based 
segmentation approach to classification for multispectral 
imagery. IEEE Transactions on Geoscience and Remote 
Sensing, 40(5), pp. 1102-1113. 
Scheunders, P., 2002. A multivalued image wavelet represent 
ation based on multiscale fundamental forms. IEEE 
Transactions on Image Processing, 10(5), pp. 568-575. 
Scheunders, P., Backer, S.D., 2001. Fusion and merging of 
multispectral images with use of multiscale fundamental forms. 
Journal of the Optical Society of America A, 18(10), pp. 2468- 
2477. 
Schiewe, J., 2002. Segmentation of high-resolution remotely 
sensed data - concepts, applications and problems. In: 
International Archives of Photogrammetry, Remote Sensing and 
Spatial Information Sciences, Ottawa, Canada, Vol. 34, pp. 
380-385. 
Vincent, L., Soille, P., 1991, Watershed in digital spaces: an 
efficient algorithm based on immersion simulations. IEEE 
Transactions on Pattern Analysis and Machine Intelligence, 
13(6), pp. 583-598. 
Wang, Z., Boesch, R., 2007. Color- and texture-based image 
segmentation for improved forest delineation. IEEE Trans 
actions on Geoscience and Remote Sensing, 45(10), pp. 3055- 
3062. 
Zenzo, S.D., 1986. A note on the Gradient of a Multi-image. 
Computer Vision Graphics and Image Processing, 33, pp. 116- 
125. 
Zhang, Y., 2002. Problems in the fusion of commercial high- 
resolution satellite images as well as Landsat 7 images and 
initial solutions. In: International Archives of Photogrammetry 
and Remote Sensing, Ottawa, Canada, Vol. 34, Part 4, pp. 236- 
242. 
Zhang, Y.J., 1996. A survey on evaluation methods for image 
segmentation. Pattern Recognition, 29(8), pp. 1335-1346. 
ACKNOWLEDGMENTS 
The research is supported by the National Natural Science 
Foundation of China with Grant No. 40771137 and 40501047. 
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