The invention provides a scale-adaptive hyperspectral image classification method and system, and the method comprises the steps of obtaining a target hyperspectral image, carrying out the principal component analysis of the target hyperspectral image, and obtaining a principal component image; obtaining the category number of surface coverage in the target hyperspectral image, and setting the category number as an interval lower bound; calculating an interval upper bound according to the category number and the main component image, and forming a scale pool by using the interval upper bound and the interval lower bound; and calculating a scale discrimination index according to the scale pool to obtain a plurality of scale discrimination index values, performing superpixel segmentation onthe target hyperspectral image according to the maximum scale in the scale discrimination index values, and classifying the target hyperspectral image according to the spatial distribution informationafter superpixel segmentation. According to the invention, the scene self-adaptive scale selection process is realized, manual parameter adjustment is not needed, the scale suitable for scene characteristics can be selected, and the hyperspectral image classification efficiency and scene robustness are improved.
Scale-adaptive hyperspectral image classification method and scale-adaptive hyperspectral image classification system