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Crop classification accuracy as influenced by training strategy,data transformation and spatial resolution of data |
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| Authors: | T T Medhavy Tara Sharma R P Dubey R S Hooda K E Mothikumar M Yadav M L Manchanda D S Ruhal A P Khera S D Jarwal |
| Institution: | 1. Space Applications Centre (ISRO), 380 053, Ahmedabad 2. Haryana State Remote Sensing Centre, 125 004, Hisar 3. Chaudhary Charan Singh Haryana Agricultural University, 125 004, Hisar |
| Abstract: | The possibility of improving classification accuracies using different training strategies and data transformations within the framework of a supervised maximum likelihood classification scheme was explored in this study. The effect of spatial resolution of data on the accuracy of classification was also studied Single-pixel training strategy resulted in improved classification accuracy over the block-training method. Data transformations gave no significant improvements in accuracy over untransformed data. There was a reduction in classification accuracy as resolution of data improved from 72 m (LISS I) to 36 m (LISS II) while other sensor characteristics remained same. |
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