The researches on automatic extracting features information of farm crop, forest and territory resources etc. from
remote-sensing image are being done at home and abroad.
The paper put forward a new approach based on existed many approach, that merge the category based on the foundation
of the traditional cluster. The new approach includes two steps: Firstly, choose a small scale to cluster and not need a
category corresponding with a integrate region in image space. Secondly, take the category generated in the first step as
object, then merge the category, form the corresponding relationship of the image region and category. The Step is a core
of the new approach, it systematize the image segmentation based on multidimensional histograms and form a new
approach, which by creating the Separating, Closeness (borderline connect, borderline disconnect and integrate)Tighten
Index in characteristic space, creating Gathering, Capturing, Equality, Average between clusters and Average in the
cluster Index in image space, Division and classification do constantly between the characteristic space and image
space, changing the shortage of single space approach, extracting the features information more effective.