An Application for Forest Area Change Detection and Classification
Priya kale, Anantrao Pawar College of engineering,Parvati,Pune; Ruksar Kalyani ,Anantrao Pawar College of engineering,Parvati,Pune; Pratik Kale ,Anantrao Pawar College of engineering,Parvati,Pune; Dhanashri Joshi ,Anantrao Pawar College of engineering,Parvati,Pune
Image Pre-Processing, Image Segmentation, Image Classification, Canny Edge Detection and K-NN Classifier
Land use is forced by environmental factors such as soil characteristics, climate, topography, and vegetation. Image processing helps to identify the type of land, by displaying particular image of that area and that image will be helpful to classify the land in the form of percentage. Existing methodologies do the change detection procedure by detecting the objects in image and that objects are compared with the base image objects to obtain a difference image. This paper a proposed system is used to develop a suitable method related to land areas for finding changes in land areas that undergoes changes over a period of time. In proposed method to get a clear image pre-processing is done. In pre-processing, the methods namely denoising, resizing and control point selection is done. Image segmentation and image classification is done on the image to get the final percentage change in forest land.
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Paper ID: GRDJEV02I060103
Published in: Volume : 2, Issue : 6
Publication Date: 2017-06-01
Page(s): 214 - 220
Published in: Volume : 2, Issue : 6
Publication Date: 2017-06-01
Page(s): 214 - 220