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Crop planting structure monthly scale dynamic extraction method

A planting structure, dynamic extraction technology, applied in the fields of instruments, character and pattern recognition, computer parts, etc., can solve the problems of difficult to meet the dynamic management of crops, difficult to obtain the best time phase, long revisit period, etc., to achieve fast calculation. , the effect of improving dependencies, improving accuracy and efficiency

Inactive Publication Date: 2019-10-11
CHINA INST OF WATER RESOURCES & HYDROPOWER RES
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problems existing in the prior art, the present invention provides a monthly-scale dynamic extraction method of crop planting structure, which solves the problems of long revisit period, difficulty in obtaining the best time phase, high price and difficulty in satisfying the dynamic management of crops in previous methods. demand problem

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  • Crop planting structure monthly scale dynamic extraction method
  • Crop planting structure monthly scale dynamic extraction method
  • Crop planting structure monthly scale dynamic extraction method

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Embodiment Construction

[0065] The following describes the specific embodiments of the present invention to facilitate those skilled in the art to understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments, for those of ordinary skill in the art, as long as various changes These changes are obvious within the spirit and scope of the present invention defined and determined by the appended claims, and all inventions and creations that utilize the concept of the present invention are protected.

[0066] Such as figure 1 As shown, a monthly-scale dynamic extraction method of crop planting structure includes the following steps:

[0067] S1: Determine the spatial scope of the analysis area and prepare data, collect time series satellite remote sensing data sets not larger than the monthly scale, use the monthly scale data as the time data, and pre-acquire sample data in the study area;

[0068] S2: Calculate texture features and n...

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Abstract

The invention discloses a crop planting structure monthly scale dynamic extraction method, which comprises the following steps of S1, determining an analysis region space range, performing data preparation, collecting a time sequence satellite remote sensing data set which is not greater than a monthly scale, performing unified processing in time to obtain monthly scale data, and simultaneously finishing pre-acquisition of sample data in a research region; S2, calculating texture features and normalized vegetation indexes by utilizing the preprocessed monthly-scale satellite remote sensing image data; S3, selecting high-information-richness texture features, and combining the high-information-richness texture features with the vegetation index to form a new image. The problems of long revisit period, difficulty in obtaining the optimal time phase, high price and difficulty in meeting the requirement of dynamic crop management of the conventional method are solved.

Description

Technical field [0001] The invention relates to the field of remote sensing planting structure monitoring, in particular to a method for dynamically extracting crop planting structures on a monthly scale. Background technique [0002] The planting structure of crops reflects the status of human agricultural production using agricultural production resources in a spatial range. It is important information for studying the types, quantity structure and spatial distribution characteristics of crops. It is also the basis for the adjustment and optimization of crop structure and the fine management of agricultural water use. The traditional methods of obtaining crop planting structure information mainly rely on local management departments to report level by level and regional sampling surveys. These two methods not only consume manpower and material resources, but also difficult to obtain spatial distribution information of various crops. [0003] With the development of remote sensing...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/188G06F18/2431
Inventor 王镕赵红莉郝震蒋云钟闫浩文段浩黄艳艳朱彦儒
Owner CHINA INST OF WATER RESOURCES & HYDROPOWER RES
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