Method and system for adjusting and improving tree species identification precision based on hyperspectral resolution

Abstract

The invention discloses a method and system for adjusting and improving tree species identification precision based on hyperspectral resolution. The method comprises the following steps: acquiring first data; acquiring second data; extracting spectral data from the first data according to the second data; performing spectral feature analysis on the spectral data; generating a vegetation identification index; carrying out dimension reduction processing to generate a prediction variable; performing classification operation to generate classification nodes; adjusting the spatial resolution of the hyperspectral image data; and carrying out identification and classification on the plant community in the preset area according to the classification result. The classification and recognition precision is improved, the dimensionality of predictive variables is reduced, the problem of hyperspectral data redundancy is solved, the classification and recognition efficiency is improved, the monitoring and recognition precision of plant communities can be further improved by adopting a mode of controlling the spatial resolution of hyperspectral image data, and effective monitoring of terrestrial plant communities in ecological sensitive areas is achieved.

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...

AI Technical Summary

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 accura

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