Image category recognition method and device and electronic equipment

Abstract

The invention discloses an image category recognition method and device and electronic equipment, and relates to the technical field of artificial intelligence, in particular to the technical field of computer vision and deep learning. The specific implementation scheme is as follows: acquiring a spectral image; and training an image recognition model based on the spectral image, obtaining the spectral semantic feature of each pixel point, the minimum distance between each pixel point and each category, and the spectral distance between the first spectrum of each pixel point and the second spectrum of each category by the image recognition model, and performing classification recognition based on the splicing features. Outputting the recognition probability of each pixel point; based on the recognition probability of the second pixel point, determining and adjusting an image recognition model based on a loss function; the maximum recognition probability is recognized from the recognition probabilities of the first pixel points output by the target image recognition model under each category, the category corresponding to the maximum recognition probability is determined as the target category corresponding to the first pixel points, the number of needed samples is small, and the labeling cost is low.

Description

technical field [0001] The present disclosure relates to the field of computer technology, and in particular to an image category recognition method, device, electronic equipment, storage medium and computer program product. Background technique [0002] At present, spectral images have been widely used in geographic surveying and mapping, land use monitoring, urban planning and other fields, especially hyperspectral images are widely used in image categories due to their large number of frequency bands, wide spectrum range, and rich ground object information. identify. However, the image category recognition method in the related art needs to rely on more labeled data in the model training stage, and the labeling cost is relatively high. Contents of the invention [0003] Provided are an image category recognition method, device, electronic equipment, storage medium and computer program product. [0004] According to the first aspect, there is provided a method for iden...

AI Technical Summary

Problems solved by technology

However, the image category recognition method in the related art needs to rely on more labeled data in the model training stage, and the labeling cost is relatively high

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