Paper Title :Road Extraction from Satellite Images Based on K-Mean Clustering
Author :Ranjitha C E, Viswanath Kapinaiah, Rishith Sadashiv
Article Citation :Ranjitha C E ,Viswanath Kapinaiah ,Rishith Sadashiv ,
(2021 ) " Road Extraction from Satellite Images Based on K-Mean Clustering " ,
International Journal of Electrical, Electronics and Data Communication (IJEEDC) ,
pp. 10-14,
Volume-9,Issue-9
Abstract : Satellite image processing plays a major role in the areas of urban planning, climate modeling, crop, forest, and
disaster relief management. For example in urban planning, a high-resolution satellite image helps in identifying rivers,
vegetation areas, buildings, roads, various man-made structures, etc. In road detection, a high-resolution satellite images
consists of multiple layers that identify other high-density objects on the road. Road identification is a challenging task for
planning urban areas. The road extraction process consists of two primary steps: detecting roads that may contain non-road
parts such as buildings etc. In this paper, an approach is presented to extract the roads from satellite images. For extraction,
we use K -means clustering, histogram equalization, thresholding to extract roads from the satellite images.The results
presented for the extracted road from the images of urban area.
Keywords - Segmentation, K-means Clustering, Filtering, Histogram Equalization, Contours Detection.
Type : Research paper
Published : Volume-9,Issue-9
DOIONLINE NO - IJEEDC-IRAJ-DOIONLINE-18198
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Copyright: © Institute of Research and Journals
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Published on 2021-12-10 |
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