Investigation of Fuzzy and SOM based Segmentation of High-Resolution Satellite Images in HSL Color Space for Information Retrieval

Author:

Ganesan P1,Sathish B. S.2,Leo Joseph L. M. I.3,Murugesan R.4,Sajiv G5,Akilandeswari A.5,Gnanaprakash M.6

Affiliation:

1. Vidya Jyothi Institute of Technology,Dept. of Electronics and Communication Engineering,Hyderabad,India

2. Sri Venkateshwara College of Engineering,Dept. of Computer Science Engineering AI,Bengaluru,India

3. SR University,,Dept. of Electronics and Communication Engineering,Warangal,Telangana,India

4. Narshima Reddy Engineering College,Dept. of Electronics and Communication Engineering,Secunderabad,India

5. SIMATS,Saveetha School of Engineering,Chennai,India

6. Sri Sairam Institute of Technology,Chennai,India

Publisher

IEEE

Reference17 articles.

1. Comparative Study of Possiblistic Fuzzy C-Means Clustering based Image Segmentation in RGB and CIELuv Color Space;sajiv;International Journal of Pharmacy and Technology,2016

2. Possiblistic-Fuzzy C-Means Clustering Approach for the Segmentation of Satellite Images in HSL Color Space

3. Performance of fuzzy based clustering algorithms for the segmentation of satellite images — A comparative study;k palanivel;2015 IEEE Seventh National Conference on Computing Communication and Information Systems (NCCCIS),2015

4. Segmentation and denoising of noisy satellite images based on Modified Fuzzy C Means clustering and discrete wavelet transform for information retrieval;ganesan;International Journal of Engineering and Technology,2013

5. Segmentation by Fusion of Histogram-Based $K$-Means Clusters in Different Color Spaces

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