Feature Selection Method of Remote Sensing Image Based on Previous Land Thematic Map

A feature selection method and remote sensing image technology, applied in the field of object-oriented remote sensing image analysis, can solve the problems of unsupervised, few feature selection methods, and no development solutions, etc., to achieve the effect of improving the effect and improving the accuracy

Active Publication Date: 2020-12-01
HOHAI UNIV
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Problems solved by technology

[0004] Although scholars have proposed a large number of feature selection methods and carried out numerous feature selection experiments; most of the methods and experiments are unsupervised (without the support of prior knowledge), globally consistent (oriented to the optimal Feature selection is difficult to do adaptive optimization for the local characteristics of the image), so the improvement of image analysis effect is limited
[0005] To sum up, in the currently visible patent and literature research, most feature selection methods are unsupervised and globally fixed, while there are few feature selection methods that can effectively incorporate prior knowledge and can be locally adaptively optimized. In particular, there are still many problems in the integration mechanism of prior knowledge, the adaptive optimization method and process of feature weights, and the application of feature weights in remote sensing analysis, and no practical solutions have been developed.

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  • Feature Selection Method of Remote Sensing Image Based on Previous Land Thematic Map
  • Feature Selection Method of Remote Sensing Image Based on Previous Land Thematic Map
  • Feature Selection Method of Remote Sensing Image Based on Previous Land Thematic Map

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Embodiment Construction

[0030] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0031] figure 1 is a schematic diagram of remote sensing image feature selection supported by the previous land thematic map. In the step of calculating the feature weight map, the distance intensity map of each land category and the feature weight of each land category are extracted from the previous land thematic map and its corresponding remote sensing image. Matrix, and construct the feature weight map of the experimental area; in the feature weighted classification step, according to the spatial position of the object to be analyzed in the segmentation map, the weight of each feature is queried from the feature weight map, and the weight of the classifier is set accordingly ; In this way, ...

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Abstract

The invention discloses a remote sensing image feature selection method based on the previous land thematic map, comprising the following steps: selecting a remote sensing image segmentation algorithm and an image feature set of the segmentation object, and setting corresponding segmentation parameters and feature extraction algorithms; The plot category divides the previous land thematic map into a corresponding number of layers, and extracts the influence intensity map and feature weight matrix to generate a feature weight distribution map; segment the remote sensing image to be analyzed, and extract the image features of the segmented object; select a An image classifier, and improve the weight setting of its classification features, construct a feature weighted classifier; set feature weights for the objects in the segmentation map according to the feature weight distribution map, and input its image features and weights into the feature weighted classifier , calculate the land category of the segmented object, and generate the land thematic map. The invention can realize the self-adaptive optimization and adjustment of the feature weight of the local region of the remote sensing image, and can improve the analysis precision of the remote sensing image.

Description

technical field [0001] The invention relates to a remote sensing image feature selection method based on a previous land thematic map, and belongs to the field of object-oriented remote sensing image analysis. Background technique [0002] With the rapid development of high (spatial) resolution remote sensing, object-based remote sensing analysis (Object-Based Image Analysis, OBIA) method has become the main technical means of remote sensing applications. Compared with the traditional pixel-based remote sensing analysis technology, the object-oriented image analysis method can fully exploit the rich geometric features, texture features and spatial pattern features of high-resolution images on the basis of using the spectral characteristics of the image. etc., and can further integrate high-level knowledge such as socio-economic and spatial models to achieve higher-precision and more efficient image analysis. Corresponding references on object-oriented remote sensing analysi...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/11G06T7/194G06T7/33G06K9/62
CPCG06T7/11G06T7/194G06T7/33G06T2207/10032G06T2207/20021G06T2207/20152G06T2207/20112G06F18/24147
Inventor 周亚男
Owner HOHAI UNIV
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