A Cotton Remote Sensing Monitoring Method Based on Phenological Analysis

Abstract

The invention belongs to the field of agricultural remote sensing, and specifically relates to a cotton remote sensing monitoring method based on phenological analysis, including: combining regional cotton spectral feature analysis and interference crop phenological analysis to clearly identify key phases of cotton; acquiring remote sensing images of key phenological periods, and performing Preprocessing; multi-scale segmentation of multi-temporal images, hierarchical construction of classifiers, and preliminary extraction of cotton information; secondary segmentation of the preliminary results of cotton information and objects that may be mixed, and construction of classifiers based on cotton spectral features and texture features. Remove the mixed points and supplement the missing cotton information; merge and output the extracted cotton information subcategories. The present invention realizes the automatic extraction of cotton planting information through the phenological analysis of cotton and interfering crops combined with the layered classification method based on remote sensing images, and fully considers the spectral difference and texture characteristics of cotton and other interfering crops, so that the cotton planting information extraction results More accurate and faster, easy to promote and apply.

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...

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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 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 information is a big challenge

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