Farmland cropping index automatic extracting method

Abstract

The invention relates to the technical field of remote-sensing image information processing, in particular to a farmland cropping index automatic extracting method. The method based on remote-sensing time sequence data includes: continuous wavelet transform is performed on time sequence signals within a year pixel by pixel to obtain a wavelet coefficient spectrum, a series of wavelet coefficient contour lines are extracted from the wavelet coefficient spectrum, a cropping system judging standard is built according to the number of the contour lines of the closed wavelet coefficient which is detected at the same time and the condition whether the intersection of the dimension intervals covered by the contour lines of the closed wavelet coefficient exists or not, and automatic extracting of farmland cropping indexes is achieved. The method has the advantages that the mapping relations of the closed contour lines and crop growing peaks are fully utilized, interference is further removed by setting conditions such as contour line search dimension intervals and initial values, and the method is good in robust, high in categorization precision, high in automation degree and interference resistance, and the like.

Description

technical field [0001] The invention relates to the technical field of remote sensing image information processing, in particular to an automatic extraction method for multi-cropping index of cultivated land. Background technique [0002] MCI is the number of times crops are planted on arable land in a year. In the environment of our country with more people and less land, maintaining long-term stability and appropriately increasing the multi-cropping index of cultivated land is an effective way to ensure food security. Real-time, rapid and accurate monitoring of the multi-cropping index of cultivated land across the country is crucial to achieving sustainable agricultural development. The methods for extracting multi-cropping index of cultivated land are divided into two categories: one is based on land survey and agricultural statistics, and the other is based on remote sensing time series data. [0003] The traditional methods based on land survey and agricultural stati...

AI Technical Summary

Problems solved by technology

However, the peak value method has weak anti-noise ability, insufficient robustness, and poor versatility

In short, the technical method of monitoring multi-cropping index of cultivated land within a year through remote sensing technology is still immature and is in the development stage. It is urgent to introduce a new automatic identification method of multi-cropping index of cultivated land

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