International Journal of Environmental Monitoring and Analysis
Volume 3, Issue 6, December 2015, Pages: 420-424
Received: Nov. 25, 2015;
Accepted: Dec. 4, 2015;
Published: Dec. 25, 2015
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Ioan Ispas, Centre for New Electronic Architecture, Research Institute for Artificial Intelligence, Bucharest, Romania
Eduard Franti, Centre for New Electronic Architecture, Research Institute for Artificial Intelligence, Bucharest, Romania; National Institute for Research and Development in Microtechnologies, Micromachined Structures, Microwave Circuits and Devices Laboratory, Bucharest, Romania
Florin Lazo, Centre for New Electronic Architecture, Research Institute for Artificial Intelligence, Bucharest, Romania
Elteto Zoltan, Centre for New Electronic Architecture, Research Institute for Artificial Intelligence, Bucharest, Romania
The aim is to design a robust method for tracking real time deforestation in a local area under satellite observation. Deforested areas are obtained by a procedure of differentiating between two successive images (temporal). The resulting method proves to be robust, the analyzed satellite image having multiple alterations: cutting (minus 3-10%), translation (5-10%), rotation (2-10 degrees), parasite random noise (5-15%), different brightness and contrast (5-10%) and cloudy areas (15-20%).
Robust Method for Deforestation Analysis of Satellite Images, International Journal of Environmental Monitoring and Analysis.
Vol. 3, No. 6,
2015, pp. 420-424.
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