Hyperspectral identification method for land parcel-based crop variety

Abstract

The invention relates to a hyperspectral identification method for a land parcel-based crop variety, which comprises the following steps: firstly, performing pretreatment on Hyperion data so as to remove unscaled bands which are easily influenced by water vapor in the Hyperion data; performing atmospheric correction on the data by utilizing a Flaash atmospheric correction module of ENVI; then, performing geometry correction on the Hyperion data by utilizing a topographic map or satellite data, such as corrected SPOT5, TM and the like to obtain a corrected Hyperion reflectivity image; performing outfield global positioning system (GPS) measurement on a crop variety land parcel to obtain the land parcel distribution map of the crop variety; overlying land parcel base onto the Hyperion reflectivity image to compute the characteristics of the crop variety, such as reflectivity mean value, variance and the like; by taking the reflectivity mean value, the variance and the like as the characteristics, performing image segmentation on the Hyperion reflectivity image to obtain the land parcel data based on the Hyperion reflectivity image; and according to the characteristics of the crop variety, such as the reflectivity mean value, the variance and the like, performing variety classification on the land parcel data to obtain a land parcel-based crop variety distribution map. In the hyperspectral identification method for the land parcel-based crop variety, the Hyperion hyperspectral data and outfield crop variety land parcel data are adopted to realize the drafting of the crop variety based on the image segmentation technology. The hyperspectral identification method for the land parcel-based crop variety can be used for monitoring nationwide crop varieties in the department of agriculture, and has wide market prospects and application value.

Description

technical field [0001] A field-based hyperspectral identification method for crop varieties belongs to the technical field of digital image processing, and in particular relates to digital image segmentation technology and digital image classification technology. Background technique [0002] The remote sensing identification of crop varieties uses hyperspectral remote sensing technology to realize the identification of crop varieties on the basis of crop classification. It provides basic information support for the fine management of crops and is one of the information sources for many scientific research institutions to conduct agricultural research. Its research is of great significance. [0003] Hyperspectral crop variety identification is one of the frontier research contents in the field of agricultural remote sensing and an important content of fine agricultural remote sensing. At present, hyperspectral crop variety identification mainly adopts traditional remote sen...

AI Technical Summary

Problems solved by technology

[0011] The present invention provides a hyperspectral crop variety identification method based on plots, which is used to realize the identification of crop varieties using hyperspectral remote sensing data, and solve the problem that it is difficult to realize the classification of crop variety levels in common remote sensing classification problems

Images