Abstract: A method for creating training data for an artificial intelligence system to classify hyperspectral data. The method including receiving a hyperspectral image from a data source, wherein the hyperspectral image includes a first pixel group associated with a first classification, forming from the hyperspectral image a first augmented image using a first augmentation algorithm and a second augmented image using a second augmentation algorithm, selecting a first group of sample pixels from the hyperspectral image, the first augmented image and the second augmented image, wherein each pixel of the selected first group of sample pixels is having an association with the first classification or with a second classification and providing the selected first group of sample pixels and the associated classifications of each pixel for an artificial training system to be used as a training data.

Abstract: A method for creating training data for an artificial intelligence system to classify hyperspectral data. The method including receiving a hyperspectral image from a data source, wherein the hyperspectral image includes a first pixel group associated with a first classification, forming from the hyperspectral image a first augmented image using a first augmentation algorithm and a second augmented image using a second augmentation algorithm, selecting a first group of sample pixels from the hyperspectral image, the first augmented image and the second augmented image, wherein each pixel of the selected first group of sample pixels is having an association with the first classification or with a second classification and providing the selected first group of sample pixels and the associated classifications of each pixel for an artificial training system to be used as a training data.