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Grassland surface cover classification method and system based on transfer learning

A technology of ground cover and classification method, which is applied in the field of grassland surface cover classification based on transfer learning, can solve the problems of inability to directly extract high-dimensional data images and long calculation time, and achieve the implementation of ecological rewards and compensation, strengthening rational utilization, The effect of improving the utilization rate

Inactive Publication Date: 2020-03-13
INNER MONGOLIA UNIV OF TECH
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Problems solved by technology

Although the deep belief network model can extract the features of images very well, it cannot directly extract the features of high-dimensional data images. Selecting the appropriate spatial information dimension also requires a lot of testing, and the network structure and parameter selection of the model need to be based on experience or experimental methods To select the best, the calculation time is long

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  • Grassland surface cover classification method and system based on transfer learning
  • Grassland surface cover classification method and system based on transfer learning

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Embodiment Construction

[0020] Various aspects and features of the present application are described herein with reference to the accompanying drawings.

[0021] It should be understood that various modifications may be made to the embodiments applied for herein. Accordingly, the above description should not be viewed as limiting, but only as exemplifications of embodiments. Those skilled in the art will envision other modifications within the scope and spirit of the application.

[0022] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the application and, together with the general description of the application given above and the detailed description of the embodiments given below, serve to explain the embodiments of the application. principle.

[0023] These and other characteristics of the present application will become apparent from the following description of preferred forms of embodiment given as non-limiting examp...

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Abstract

The invention relates to a grassland surface cover classification method, in particular to a grassland surface cover classification method and system based on transfer learning. The method comprises the steps of acquiring a grassland remote sensing image of a target area; preprocessing the grassland remote sensing image to obtain preprocessed grassland remote sensing image data; inputting the preprocessed grassland remote sensing image data into a trained grassland remote sensing image classification model, and outputting an image category; wherein the image category is one of preset land cover categories. According to the grassland remote sensing image classification method and system, work such as feature point labeling and optimal feature combination and extraction does not need to be conducted on the grassland images, the processed grassland remote sensing image training model can be directly input, and classification and recognition are conducted on the grassland remote sensing images through the trained grassland remote sensing image classification model; and the classification result is analyzed, so that the range change conditions of various earth surface coverings each year can be obtained, and technical support is provided for related departments to understand ecological conditions.

Description

technical field [0001] This application relates to the field of grassland remote sensing image processing, in particular to a method and system for classification of grassland surface cover based on transfer learning. Background technique [0002] Grassland is the largest ecosystem on land. It plays an important role in agriculture, animal husbandry, and human survival and development in the process of energy flow and material circulation. my country is rich in natural grassland resources. The national natural grassland area is about 392.8 million hectares, about It accounts for 12% of the global grassland area. Therefore, my country attaches great importance to grassland protection and construction, comprehensively promotes the development of grassland undertakings, and increases investment in grassland ecological construction projects. However, for a long time, the grassland ecosystem has been affected by external (human factors) and internal (natural factors), resulting in...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/188G06F18/24G06F18/214
Inventor 房建东李爱嘉赵于东
Owner INNER MONGOLIA UNIV OF TECH
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