Review on Satellite Image Classification using Fuzzy Logic
Journal: International Journal of Science and Research (IJSR) (Vol.4, No. 12)Publication Date: 2015-12-05
Authors : Pranali Shah; Mohammed G. Vayada;
Page : 1245-1248
Keywords : Classification; Fuzzy logic; Image processing; Satellite image; ANN; SVM; Decision tree;
Abstract
In present day classification of image plays an important role in engineering and computer vision applications like image processing in remote sensing image. The classification of image is a challenging and important task nowadays. The main problem in satellite image classification is uncertainties in position of object borders and multiple similarities of segments to different classes. To solve this problem fuzzy logic is used, as it efficiently handles uncertainty. This paper shows different technique for image classification and proposed method fuzzy logic is described in detail and shows fuzzy model for detecting water by taking a satellite image example.
Other Latest Articles
- Review on Color Image Edge Detection using Quaternion Fourier transform
- The Implementation of Occupational Health and Safety (OHS) Program at State-Owned Enterprise: Case Study at Pindad, Ltd., in Bandung, Indonesia
- Seasonal Abundance of Waterfowls, Belongs to Various Ecological Groups in Muriyad Kole Wetland, Thrissur, Kerala
- Ethnobotanical Plants Conservation by the Tribes of Amarkantak area of District Anuppur, Madhya Pradesh, India
- Study of Dielectric Properties of Aqueous Solution of Nicotinic Acid Using Time Domain Technique
Last modified: 2021-07-01 14:28:06