Abstract:Hyperspectral imaging (HSI) is composed of both feature noise and label noise; thus, makes HSI crop classification extremely challenging. Recently, various feature noise tolerant machine learning and Deep learning mechanism have been presented for HSI crop classification considering; however, very limited have been presented considering presence of noise in training label. Existing model applied with presence of both label and feature noise in HSI exhibit very poor accuracies with higher misclassification. In … Show more
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