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

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