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

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

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.