期刊名称：International Journal of Computer Networks & Communications
印刷版ISSN：0975-2293
电子版ISSN：0974-9322
出版年度：2016
卷号：8
期号：3
页码：81
DOI：10.5121/ijcnc.2016.8306
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Today any geographic information system (GIS) layers became vital part of any GIS system , andconsequently , the need for developing automatic approaches to extract GIS layers from different imagemaps like digital maps or satellite images is very important.Map classification can be defined as an image processing technique which creates thematic maps fromscanned paper maps or remotely sensed images. Each resultant theme will represent a GIS layer of theimages.A new proposed approach to extract GIS layers (classes) automatically based on L*A*B colorsystemselected from ( A and B ) is proposed in this paper, our experiments shows that the hsi color space givesbetter than L*A*B.
关键词：L*a*b color space; HSI color space; GIS; GIS layers; classification
