Bands Classification of Multispectral Image Data using Indiscernibility Relations in Rough Sets

러프 집합에서의 식별 불능 관계를 이용한 다중 분광 이미지 데이터의 밴드 분류

Traditionally, classification of remote sensed image data is one of the important works for image data analysis procedure. So, many researchers have been devoted their endeavor to increasing accuracy of analysis, also, many classification algorithms have been proposed. In this paper, we propose new bands selection method for multispectral bands of remote sensed image data that use rough set theory. Using indiscernibility relations in rough sets, we show that can select the efficient bands of multispectral image data, automatically.