Cotton remote sensing monitoring method based on phenological analysis

Abstract

The invention belongs to the field of agricultural remote sensing, and particularly relates to a cotton remote sensing monitoring method based on phenological analysis. The cotton remote sensing monitoring method comprises the steps of: combining regional cotton spectral signature analysis and interferencing crop phenological analysis, and making cotton identification key time phases clear; acquiring a remote sensing image of a key phenological period, and preprocessing the remote sensing image; performing multi-scale segmentation on a multi-time-phase image, constructing classifiers in a layered manner, and extracting cotton information primarily; performing secondary segmentation on a cotton information primary result and possible mixing and separating objects, combining cotton spectralfeatures and texture features to construct a classifier, removing mixing and separation, and supplementing cotton information omitted in extraction; and merging extracted cotton information subclasses, outputting and drawing a graph. The cotton remote sensing monitoring method based on phenological analysis realizes automatic extraction of cotton planting information through combining phenological period analysis of cotton and interferencing crops with a layered classification method based on the remote sensing image, fully considers the spectral difference and texture features of the cottonand interferencing crops, makes the cotton planting information extraction result more precise and rapid, and is easy to popularize and use.

Description

technical field [0001] The invention belongs to the technical field of remote sensing applications, and in particular relates to a cotton remote sensing monitoring method based on phenology analysis. Background technique [0002] my country is the largest cotton-producing country in the world, and cotton is the main raw material for making clothes and quilts in my country. The rapid and accurate extraction of cotton planting information is of great significance for mastering the national cotton planting scale, predicting cotton production and even the economic development of the textile industry. [0003] At present, in terms of remote sensing monitoring of crops, there are few researches on remote sensing monitoring of cotton crop planting area, and there are still great challenges in the accuracy and scalability of the method, especially in northern China, where the agricultural planting structure is complex and the plots are small. Accurate acquisition of cotton planting...

AI Technical Summary

Problems solved by technology

[0003] At present, in terms of remote sensing monitoring of crops, there are few researches on remote sensing monitoring of cotton crop planting area, and there are still great challenges in the accuracy ...

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