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Method and device for classifying planting structures

A technology of planting structure and classification method, which is applied in the field of agricultural information, can solve problems such as the inability to accurately obtain information on the use of village land, and achieve the effect of accurate classification

Active Publication Date: 2022-05-17
HENAN UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

[0005] The purpose of the present invention is to provide a planting structure classification method and device to solve the problem in the prior art that it is impossible to accurately obtain information on land use conditions in villages

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  • Method and device for classifying planting structures
  • Method and device for classifying planting structures

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Embodiment Construction

[0044] The solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0045] Planting structure classification method embodiment:

[0046] Taking an irrigation district of a certain city in a certain province as an example, using the Landsat8 remote sensing image data of the district stored in the database on a certain day in May, the planting structure classification method of the present invention is specifically introduced.

[0047] Planting structure classification method of the present invention, such as figure 1 As shown, it specifically includes the following steps:

[0048] 1) Obtain the original remote sensing image data;

[0049] In this embodiment, the original remote sensing image data is the acquired Landsat8 commercial multispectral satellite data set.

[0050] 2) Preprocessing the original remote sensing image data:

[0051] According to the original remote sensing image data...

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Abstract

The present invention relates to a planting structure classification method and device, mainly through preprocessing the remote sensing data, that is, by extracting the planting structure index from the remote sensing data, adding the determined planting structure index to the original remote sensing image data , and the images of multiple bands are fused, labeled as a training set, and the constructed network model is trained, and the remote sensing images to be classified are preprocessed and input to the trained network model to classify the planting structure. The present invention increases the spatial resolution and spectral richness of images used for training, thereby realizing the determination of parameters in subsequent network model training, and accurately classifying the remote sensing images to be tested.

Description

technical field [0001] The invention relates to a method and device for classifying planting structures, belonging to the field of agricultural information technology. Background technique [0002] Crop planting structure is an important part of the spatial pattern of crops, and its temporal and spatial change information is an important expression of crop planting methods in a region or production unit. Regional crop yield estimation, adjustment and optimization of agricultural planting structure depend on accurate and timely determination of changes in agricultural planting structure. The use of remote sensing combined with high-tech to extract crop planting structure has good application prospects and great development potential. [0003] At the same time, with the development of machine learning, algorithms such as neural network (NNS) and support vector machine (SVM) have been applied to the classification of high-resolution remote sensing images, but they are shallow l...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/764G06V10/774G06V20/10G06V10/82G06V10/80G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/188G06N3/045G06F18/24G06F18/214
Inventor 李卫东孟凡谦白林燕赵晨曦李磊王亚兵刘甲张定文刘钦灏吴峥嵘时春波
Owner HENAN UNIVERSITY OF TECHNOLOGY