Patent ID: 11868434
Assignee: SHARPER SHAPE OY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method for creating training data for an artificial intelligence system to classify hyperspectral data, the method comprising:
receiving a hyperspectral image from a data source, wherein the hyperspectral image comprises a first pixel group, wherein each pixel of the first pixel group being associated with a first classification;
forming from the hyperspectral image a first augmented image using a first augmentation algorithm, wherein the first augmented image comprises a first augmented pixel group, the first augmented pixel group being augmented from the first pixel group, each pixel of the first augmented pixel group being associated with the first classification;
forming from the hyperspectral image a second augmented image using a second augmentation algorithm which is different from the first augmentation algorithm, wherein the second augmented image comprises a second augmented pixel group, the second augmented pixel group being augmented from the first pixel group, each pixel of the second augmented group being associated with the first classification;
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.