Unlock instant, AI-driven research and patent intelligence for your innovation.

A Winter Wheat Recognition Method Based on ndvi Time Series Coordinate Transformation

A technology of time series and coordinate conversion, which is applied in character and pattern recognition, instruments, computer parts, etc., can solve the problem of not comprehensively considering the sequence, etc., and achieve the effect of improving the recognition accuracy

Active Publication Date: 2018-09-04
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Winter Wheat Recognition Method Based on ndvi Time Series Coordinate Transformation
  • A Winter Wheat Recognition Method Based on ndvi Time Series Coordinate Transformation
  • A Winter Wheat Recognition Method Based on ndvi Time Series Coordinate Transformation

Examples

Experimental program
Comparison scheme
Effect test

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

[0018] (1)

[0019] In the...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention proposes a winter wheat identification method based on NDVI time series coordinate transformation. The present invention uses NDVI time series covering the growth cycle of winter wheat, fully utilizes the unique phenological characteristics of winter wheat that are different from other ground features, and through the coordinate conversion of NDVI time series, Significantly improved the difference between winter wheat and other features, and achieved high-precision identification of winter wheat based on the mean and standard deviation threshold segmentation method.

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(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