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A Sugarcane Distribution Recognition Method Based on Optical Remote Sensing Data

A technology of optical remote sensing and identification methods, applied in image data processing, character and pattern recognition, image analysis and other directions, can solve the problems of fragmented cloud cover, interference and recognition accuracy, low level, etc., which is beneficial to agricultural management and planning, Solve the effect of low recognition accuracy

Active Publication Date: 2020-10-09
GUANGZHOU INST OF GEOGRAPHY GUANGDONG ACAD OF SCI
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Problems solved by technology

[0005] Based on this, the purpose of the present invention is to provide a sugarcane distribution recognition method based on optical remote sensing data, which solves the problem of low recognition accuracy caused by land fragmentation and cloud interference, and has the ability to accurately reflect the spatial distribution of sugarcane, which is beneficial Benefits of Sugarcane Management and Planning

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  • A Sugarcane Distribution Recognition Method Based on Optical Remote Sensing Data
  • A Sugarcane Distribution Recognition Method Based on Optical Remote Sensing Data
  • A Sugarcane Distribution Recognition Method Based on Optical Remote Sensing Data

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Embodiment 1

[0072] The following takes the sugarcane distribution identification in Zhanjiang City, Guangdong Province, China as an example to describe in detail:

[0073] 1. Since Zhanjiang City is located in the south of China, the temperature and rainfall are sufficient all year round. Then refer to expert knowledge and according to the phenological information of Zhanjiang local sugarcane, select an appropriate time interval and divide it into 5 phenological stages. Please refer to Table 1.

[0074] Table 1 Sugarcane phenological stages in Zhanjiang City

[0075] seedling stage From January 1st to March 31st tillering stage From April 1st to June 25th Jointing stage From June 26th to August 10th elongation period From August 11th to November 30th maturity From December 1st to December 31st

[0076] 2. Please refer to 5. Use the following formula to synthesize the NDVI maximum images corresponding to the five phenological stages:

[0077] ND...

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Abstract

The present invention relates to a sugarcane distribution recognition method based on optical remote sensing data, which comprises the following steps: obtaining phenological information of sugarcane and historical Sentinel-2 sequence data of the sugarcane, and calculating NDVI for each scene image; dividing phenological stages according to the phenological information , and synthesize the NDVI maximum image corresponding to each phenological stage; perform image dimensionality reduction on the NDVI maximum image; use the gradient operator to calculate the gradient for the image after dimensionality reduction, and obtain the edge magnitude image; edge magnitude image The sugarcane distribution was extracted using the watershed segmentation algorithm. The sugarcane distribution recognition method based on optical remote sensing data of the present invention solves the problem of low recognition accuracy caused by land fragmentation and cloud interference, has the advantages of accurately reflecting the spatial distribution of sugarcane, and is beneficial to sugarcane management and planning.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing, in particular to a sugarcane distribution recognition method based on optical remote sensing data. Background technique [0002] The planting area and spatial distribution of sugarcane is an important parameter for monitoring sugarcane planting information. At present, sugarcane planting area and spatial distribution information still rely on traditional statistical reports or on-site measurements. The whole process takes a lot of time, manpower and material resources, and the obtained agricultural information cannot provide timely and accurate spatial distribution of sugarcane planting. [0003] At present, there have been a lot of research on sugarcane classification by using remote sensing technology, but the existing research has the problem of low accuracy in application. It is mainly affected by the following factors: non-large-scale farmland operations, fragmented ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06T7/00G06T7/13
CPCG06T7/0002G06T7/13G06T2207/10032G06T2207/20152G06T2207/30188G06V20/188
Inventor 姜浩周成虎李丹李勇
Owner GUANGZHOU INST OF GEOGRAPHY GUANGDONG ACAD OF SCI
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