Because hyperspectral remote sensing images have high band dimension and limited training samples. it is hard to achieve acceptable classification results using conventional statistical pattern recognition methods. Nevertheless. support vector machine (SVM) is suitable for hyperspectral image classification owing to its good generalization ability and minimal structural risk. https://www.ngetikin.com/flash-choice-1-Gallon-Roll-Cote-High-Performance-Moisture-Vapor-Barrier-Coating-and-Primer-limited-super/