Comparison of Object and Pixel-Based Classifications For Mapping Crops Using Rapideye Imagery: A Case Study Of Menemen Plain, Turkey-Reference-Cited by-同舟云学术

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Comparison of Object and Pixel-Based Classifications For Mapping Crops Using Rapideye Imagery: A Case Study Of Menemen Plain, Turkey

Published:2018-08-01 Issue:2 Volume:5 Page:231-243
ISSN:2148-9173
Container-title:International Journal of Environment and Geoinformatics
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Author:

Esetlili M. Tolga,Bektas Balcik Filiz,Balik Sanli Fusun,Ustuner Mustafa,Kalkan Kaan,Goksel Cigdem,Gazioğlu Cem,Kurucu Yusuf

Publisher

International Journal of Environment and Geoinformatics

Reference49 articles.

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2. Pal, M. and Mather, P.M. “Assessment of the Effectiveness of Support Vector Machines For Hyperspectral Data” Future Generation Computer Systems, 20, 1215–1225, (2004).

3. Lu, D. and Weng, Q., “A Survey of Image Classification Methods and Techniques for Improving Classification Performance” International Journal of Remote Sensing 28 (5), 823–870, (2007).

4. Kaya, S., Pekin, F., Seker, D. Z., Tanik, A. “An Algorithm Approach for the Analysis of Urban Land-Use/Cover: Logic Filters” International Journal of Environment and Geoinformatics 1(1-3), pp: 12-20, (2014).

5. Islam, K., Jasimuddin, M., Nath, B., Nath, K. T.”Quantitative Assessment of Land Cover Change Using Landsat Time Series Data: Case of Chunati Wildlife Sanctuary (CWS), Bangladesh” International Journal of Environment and Geoinformatics. 3 (2), pp: 45-55 (2016)

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