Predicting the Forest Fire Using Image Processing

Abstract

Predicting the forest fire is an important problem from many points of view. It destroys ecology and decreases the overall life quality. It is important from economical point of view as wood is a valuable resource. In this paper, we examine the problem of early fire detection using images of different parts of the forest areas. Our approach is based on image pre-processsing and segmentation of images are produced using the segmentation methods. A new approach is used to extract the features using histogram of gradient (HOG) by extract the features such as gradient, angle, magnitude and the support vector machine (SVM) are used to recognize patterns for classification is shown.

Authors and Affiliations

Dr. M. P. Sivaram Kumar, Shyamala. R, Priyanka. G, Sneha. R

Keywords

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  • EP ID EP21943
  • DOI -
  • Views 209
  • Downloads 3

How To Cite

Dr. M. P. Sivaram Kumar, Shyamala. R, Priyanka. G, Sneha. R (2016). Predicting the Forest Fire Using Image Processing. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(4), -. https://www.europub.co.uk/articles/-A-21943