Combined Features for Object Extraction Using Fuzzy C-Mean

This paper proposes a method for objects extraction based on high and color texture features. The existing methods using two-dimensional texture features are not effective enough for the extraction of the objects which are higher than their surroundings. An architecture is presented that observed points on forest and on non-forest are divided into two different groups in automatic aerial triangulation. The experimental results proves that the method of observed points divided into two different groups can improve the accuracy of automatic aerial triangulation.