Crop recognition method based on multi-spectral satellite images

Abstract

The invention discloses a crop identification method based on multi-spectral satellite images, comprising the following steps: S1, collecting crop samples; S2, acquiring multispectral satellite imagedata of the crop sample; S3, determining a pixel corresponding to the crop sample on the multi-spectral satellite image data through the collection position of the crop sample; S4, taking the temporalspectrum information of the pixel and the crop type of the crop sample as inputs to train a machine learning model; S5, classifying other sampling areas by the trained machine learning model. The invention takes the temporal spectrum information of the pixel as the input of the training machine learning model, Not only greatly expands the amount of crop spectral information, solves the problem ofinsufficient crop spectral information at a single time, but also identifies crops from the full cycle of crop growth spectral information, which is more accurate than the identification at a singletime, so as to improve the efficiency of crop identification.

Description

technical field [0001] The invention belongs to the technical field of multispectral information processing, in particular to a crop identification method based on multispectral satellite images. Background technique [0002] Agriculture is the foundation of the national economy, and crops, as the foundation of agriculture, play a pivotal role in ensuring food security and social stability. Accurate and rapid grasp of crop planting area and its spatial distribution is crucial to ensuring food security. [0003] The existing regional crop species identification and planting area statistics are mainly obtained through extensive ground survey and sampling, and then combined with statistical principles to analyze the sample data. This research method requires a lot of manpower and material resources, and at the same time takes a long time, and cannot be updated frequently in a large area (such as the whole country). [0004] Another crop identification method is mainly the remo...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a crop recognition method based on multi-spectral satellite imagery for the problems of low efficiency and high cost of the existing crop recognition technology, and to train a machine learning model by introducing time-series spectral information of crops, thereby improving crop recognition. Efficiency, while reducing application costs by using multi-spectral satellite image data, so that the present invention can be applied to a wide range of crop identification

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