Method and system for improving tree species identification accuracy based on hyperspectral resolution adjustment

Abstract

The invention discloses a method and system for adjusting and improving tree species recognition accuracy based on hyperspectral resolution, comprising the following steps: acquiring first data; acquiring second data; extracting spectral data from the first data according to the second data; performing spectral data on the spectral data Spectral feature analysis; generate identification vegetation index; dimensionality reduction processing to generate predictive variables; classification operation to generate classification knots; adjust the spatial resolution of hyperspectral image data; identify and classify the plant communities in the preset area according to the classification results. The invention improves classification and recognition accuracy, reduces the dimension of predictive variables, solves the problem of hyperspectral data redundancy, improves classification and recognition efficiency, and adopts the method of controlling the spatial resolution of hyperspectral image data to further improve the monitoring and recognition accuracy of plant communities , to achieve effective monitoring of terrestrial plant communities in ecologically sensitive areas.

Description

technical field [0001] The invention relates to terrestrial plant community monitoring technology, in particular to a method and system for adjusting and improving tree species identification accuracy based on hyperspectral resolution. Background technique [0002] Accurately obtaining plant community tree species and spatial distribution information in ecologically sensitive areas is of great significance for understanding ecosystem structure, function, succession, biodiversity, and carbon sequestration capacity. It is one of the most basic and key indicators in ecosystem protection and monitoring. one. [0003] The traditional methods of plant community monitoring and species identification mainly rely on manual field surveys, which are time-consuming and laborious. The survey information obtained is often not comprehensive enough, which is not conducive to timely updating of information, and faces severe challenges in high-altitude complex terrain areas. It is urgently ne...

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Problems solved by technology

[0004] The technical problem to be solved by the present invention is that the plant community monitoring technology in the prior art has problems such as the lack of target identification species, the simple structure of the ecosystem in the research area, and the low prediction accuracy, especially for the plant community monitoring technology in high-altitude areas. Blind area, the purpose is to provide a method and system for improving tree species identification based on hyperspectral, and improve the accuracy of tree species identification in complex ecosystems

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