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Winter wheat recognition method based on NDVI time sequence coordinate conversion

A technology of time series and coordinate transformation, which is applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as not comprehensively considering sequence, and achieve the effect of improving recognition accuracy, improving difference, and high-precision recognition

Active Publication Date: 2016-03-16
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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Problems solved by technology

[0005] In the field of NDVI time series identification of crops, the current relatively mature method is the decision tree classification method, which only uses a few characteristic bands in the time series without comprehensively considering the entire sequence

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  • Winter wheat recognition method based on NDVI time sequence coordinate conversion
  • Winter wheat recognition method based on NDVI time sequence coordinate conversion
  • Winter wheat recognition method based on NDVI time sequence coordinate conversion

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Embodiment Construction

[0016] Below in conjunction with example the present invention will be further described, and the implementation process of the present invention is as follows figure 1 As shown, the specific implementation details of each part are as follows.

[0017] Step 1: Obtain the GF-1WFV data in the growth cycle of winter wheat, and construct the NDVI time series; the present invention takes Hengshui Jizhou City, Hebei Province as the experimental area, and obtained the GF-1WFV data covering the growth cycle of winter wheat from October 2014 to May 2015. -1WFV data has a total of 8 scenes (see Table 1). After radiometric calibration, atmospheric correction, geometric correction, etc., NDVI is extracted and NDVI time series is constructed to achieve continuous observation of key periods of crop growth and development. Among them, NDVI is calculated by using the red band and near-infrared band of GF-1WFV data through formula (1).

[0018] (1)

[0019] In the formula: is the reflect...

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Abstract

The present invention proposes a winter wheat recognition method based on NDVI time sequence coordinate conversion. According to the winter wheat recognition method provided by the present invention, an NDVI time sequence covering the growth cycle of the winter wheat is adopted; unique phenological characteristics of the winter wheat, which are distinguished from other ground features, are sufficiently utilized; by the coordinate conversion of the NDVI time sequence, differences between the winter wheat and other ground features are significantly improved; and based on an average value and a standard deviation threshold value, high accuracy recognition of the winter wheat is achieved.

Description

technical field [0001] The present invention is a winter wheat remote sensing recognition technology, and proposes a winter wheat recognition method based on NDVI time series coordinate conversion. Through the coordinate conversion of NDVI time series, the difference between winter wheat and other features is significantly improved, and the high-precision recognition of winter wheat is realized. . Background technique [0002] Wheat is one of the most important food crops in the world and is the most widely grown in the world. Wheat is also the most important food crop in my country, and its planting area accounts for one-fifth of the total sown area of ​​food crops, occupying an important position in my country's food composition. Winter wheat is the mainstay in my country, and timely and accurate extraction of winter wheat planting area is the basis for yield forecasting and an important factor related to national food security and social stability. [0003] The traditio...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V20/188
Inventor 占玉林孟庆岩顾行发余涛王春梅李娟魏香琴刘苗李玲玲
Owner INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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