Comparative performance of per-pixel classifiers using ers-1 sar data for classification of rice crop

Comparison of support vector machine, artificial neural network, and spectral angle mapper algorithms for crop classification using LISS IV data

“…The similar patterns of PA and UA observed for lentil, mustard, barley, wheat, and other crops indicate that they were correctly identified on the ground as well as actually classified on the map. Similar accuracy results were found using the ANN classification algorithm by ERS-1 and QuickBird data for crops and non-crop categories in India (Chakraborty and Panigrahy 1997;Omkar et al 2008). In the crop categories, the accuracy of lentil crop was found to be higher than corn, linseed, mustard, barley, and other crops, whereas it was found to be lower than wheat crop.…”