THE STUDY OF RIVER EXTRACTION TECHNIQUES AND METHODS USING REMOTE SENSING

Authors

  • SUHAS B KALE Department of Computer Science Balbhim Arts, Science and Commerce College, Beed, India.
  • MAYUR P DESHMUKH Department of Computer Science Balbhim Arts, Science and Commerce College, Beed, India

Keywords:

DME, NDWI, K means Clustering

Abstract

In this paper, Methods and technology of river Extraction are studied. First DEM with K means, Hill Climbing, and Thresholding. Then different technics like NDWI, pixel-based (supervised and unsupervised) classification and object-based classification. Then a new water body extraction model was developed using the advantages of the OBIA and the NDWI. The need for this kind of method comes from the fact that it is hard for pixel-based classification methods and th NDWI method to separate water from another object that has a low albedo, and since it is impossible to separate them by their spectral differences, we have decided to include the NDWI within the object-based method.

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Published

2021-02-20

Issue

Section

Articles

How to Cite

THE STUDY OF RIVER EXTRACTION TECHNIQUES AND METHODS USING REMOTE SENSING. (2021). JournalNX - A Multidisciplinary Peer Reviewed Journal, 185-187. https://repo.journalnx.com/index.php/nx/article/view/2065

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