The week's pick
Random Articles
Reseach Article
A Novel System to Detect Forest Land Cover Change
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 155 - Number 11 |
| Year of Publication: 2016 |
| Authors: Pratik Kale, Priya Kale, Ruksar Kalyani, Dhanashri Joshi |
10.5120/ijca2016912405
|
Pratik Kale, Priya Kale, Ruksar Kalyani, Dhanashri Joshi . A Novel System to Detect Forest Land Cover Change. International Journal of Computer Applications. 155, 11 ( Dec 2016), 15-18. DOI=10.5120/ijca2016912405
Abstract
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.
References
- Jovit Reno. A, Beulah David. D , “An Application of Image Change Detection- Urbanization”, 2015 International Conference on Circuit, Power and Computing Technologies [ICCPCT] .
- Moumita Roy, Farid Melgani, Senior Member, IEEE, Ashish Ghosh, Member, IEEE, Enrico Blanzieri, Member, IEEE, and Susmita Ghosh, Member, IEEE, “ Land-Cover Classification of Remotely Sensed Images Using Compressive Sensing Having Severe Scarcity of Labeled Patterns ”, IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 12, NO. 6, JUNE 2015.
- Chanika Sukawattanavijit, Jie CHEN, member IEEE, “ Fusion of RADARSAT-2 Imagery with LANDSAT-8 Multispectral Data for Improving Land Cover Classification Performance Using SVM ”,2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar(APSAR).
- Wu Bin, Yang Jian, Zhao Zhongming, Meng Yu, Yue Anzhi, Chen Jingbo, He Dongxu, Liu Xingchun, and Liu Shunxi , “Parcel-Based Change Detection in Land-Use Maps by Adopting the Holistic Feature”, IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, VOL. 7, NO. 8, AUGUST 2014.
- Jwan Al-doski, Shattri B.Mansor* and Helmi Zulhaidi Mohd Shafri, “ Hybrid classification of Landsat data for land cover Changes analysis of the Halabja city, Iraq”, 2013 Fifth International Conference on Geo-Information Technologies for Natural Disaster Management.
- Rajeshwar Dass, Priyanka, Swapna Devi , “Image Segmentation Techniques”, IJECT Vol. 3, Issue 1, Jan. - March 2012.
- J Umamaheswari and Dr.G.Radhamani, “Quadratic Program Optimization using Support Vector Machine for CT Brain Image Classification”, IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 4, No 1, July 2012.
- https://www.google.co.in/search?client=ubuntu&channel=fs&q=+deforestration+images&ie=utf-8&oe=utf 8&gfe_rd=cr&ei=LPzkV6XPM7L98wejzIygCw#channel=fs&q=deforestration+
- https://www.google.co.in/search?client=ubuntu&channel=fs&q=+deforestration+images&ie=utf-8&oe=utf 8&gfe_rd=cr&ei=LPzkV6XPM7L98wejzIygCw#channel=fs&q=canny+edge+detection+algorithm
- https://www.google.co.in/?gfe_rd=cr&ei=Vf_kV6aM4zT8gfxo73IAw&gws_rd=ssl#q=google+earth+images
- https://www.analyticsvidhya.com/blog/2014/10/introduction-k-neighbours-algorithm-clustering
- https://www.google.co.in/?gfe_rd=cr&ei=Vf_kV-6aM4zT8gfxo73IAw&gws_rd=ssl#q=image+preprocessing
Index Terms
Keywords