期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN:2320-9798
电子版ISSN:2320-9801
出版年度:2015
卷号:3
期号:1
DOI:10.15680/ijircce.2015.0301065
出版社:S&S Publications
摘要:In remote sensing energy emanating from the earth‟s surface is measured using a sensor mounted on anaircraft or spacecraft platform. Road extraction is an important role in remote sensing applications. There are differenttypes of satellite data available from various countries based on sensor and resolution. Liss IV is a one of the satellitedata from Indian Remote Sensing P6 satellite with four different types of bands such as Green band, Red band andNear-Infrared band with 5.8 meter resolution per pixel in an each image. Above these bands, Near-infrared band issuitable for road extraction. Original this band has to improve the clarity of the pixels using gaussion homomorphicfiltering techniques and then extract the road feature from filtering data using Genetic algorithm based segmentationand active contour model based segmentation. Finally detect the best segmentation algorithm is suitable for Liss IVdata based on performance metrics.