Skip to Main Content Normal FCM (Fuzzy C-Means Clustering)
algorithm is based on the Euclidean distance, which is the
isotropic clustering method. In fact, the distribution of remote
sensing data pixels don't obey the isotropism or sphere
distribution, and we can't get good results in actual usage with
normal FCM algorithm. So we choose FCM algorithm based on
Mahalanobis distance, which is the appropriate distance
measurement method for recognition and is selected according to
the actual geographical distribution of remote sensing pixels.
Then, we can recognize the land cover types of remote sensing
images in the Three Gorges Reservoir Area with FCM algorithm
based on Mahalanobis distance. The results show that this
classification method can distinguish almost every pixel well,
which have the same spectra but not same one, and we make the
classified images a significant change with this method.
Geoscience and Remote Sensing (IITA-GRS), 2010 Second IITA
International Conference on (Volume:2 ) Date of Conferenc