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October 2021 Issue Vol.11 No.10
HYBRID METHOD FOR CROP SELECTION USING ED AND SVM
https://ia601508.us.archive.org/35/items/vol11no1001/vol11no1001.pdf
S.Mohanambal#1, and Dr.A.Pethalakshmi*2
# Research Scholar, Mother Teresa Women’s University,Kodaikanal–624 101, Tamil Nadu, India.
*Principal, Govt.Arts College(W),salem-8, Tamil Nadu, India.
Abstract:
Research on based decision making has received much attention in recent years. When the area based upon the various schedule, hence they adequate prior knowledge that can be need for the purpose of supervise the classification and the ground truth measurement of the fields that can be conduct at different country. In this paper proposed the Entropy decomposition and support vector machine. It can be represented as the EDSVM techniques. This technique is help to the Synthetic Aperture radar that can be used to classification of the images with the purpose of wheat monitoring. They can assess the purpose of the multi temporal data and helps to supervise the classification of the wheat planning. When the theoretical output of the radiative transfer based on the ground truth depending parameter are the purpose to determine the training set of the various kinds of wheat planting schemes in the feature space of the entropy decomposition. Then the support vector machine is attain for the space based on feature for the classifying the images. In this algorithm is to demonstrate by the use of multi temporal radarsat-1 data. They compare the result from the information based on the training set from the image by using EDSVM, maximum likely hood technique.
Keywords: crop cultivation technique, decision making, EDSVM, feature extraction, maximum likelihood technique, radarsat-1.
