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A land-use category determination method incorporating street view imagery

A determination method and street view technology, applied in the field of land use category determination, can solve problems such as kernel density regression errors, and achieve the effects of high accuracy, fine classification results, and accurate classification.

Active Publication Date: 2021-04-09
INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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  • Claims
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Problems solved by technology

However, these methods are limited to the block scale, and do not use single pixel information to classify land use, and for some areas with sparse street view sample points, or areas with uneven distribution of street view samples, using kernel density regression will produce big error

Method used

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  • A land-use category determination method incorporating street view imagery
  • A land-use category determination method incorporating street view imagery
  • A land-use category determination method incorporating street view imagery

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Embodiment Construction

[0039] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0040] Such as figure 1 As shown, a method for determining land use category integrated into street view information of the present invention includes the following steps:

[0041]Step 1: Street View Information Extraction

[0042] Selection of street view sampling points: edit the road vector data and extract the road vector data that exists in street view images; randomly generate sampling points on the road through GIS software, and calculate the direction of each sampling point due to the quality of the road direction image sampling point data, and obtain The four directions of each sampling point are 0°, 270°, 180° and 90° respectively. According to the location of the sampling point, one street view image on the left and right sides of the road is selected as a ground object discrimination sample and one road street view image is used as a roa...

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Abstract

The invention discloses a method for determining land use categories integrated into street view images. Firstly, the fine object category information in the street view image sampling points is extracted by means of deep learning convolutional neural network; at the same time, the remote sensing image is preprocessed, and the land cover map is obtained by using the supervised classification method. Secondly, through the spectrum, texture, shape and geographical distribution information of the pixel where the street view sampling point is located, the category of the adjacent pixel is deduced. Finally, the pixel classification information is fused with the land cover map to obtain fine multi-category land use results. The invention starts from remote sensing based pixel classification, combines fine street scene information, and has high classification result accuracy.

Description

technical field [0001] The invention relates to a method for determining a land use category and belongs to the field of geospatial information. Background technique [0002] Land use refers to all human activities that purposefully develop and utilize land resources. Land use information plays a vital role in urban planning, urban environmental monitoring, and urban transportation (Liu X, He J, YaoY, et al. al.). How to extract more accurate land use information is an important issue and challenge. As a large-scale, non-contact data source, remote sensing image information is an important means of land use information extraction (Zhao Yingshi). Using high-resolution remote sensing images acquired by resource satellites, combined with professional remote sensing image processing software, and applying scientific information extraction methods, the corresponding resource information can be obtained quickly and accurately. [0003] However, due to the influence of the accur...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/32G06K9/34G06K9/62G06Q50/16
CPCG06Q50/16G06V20/13G06V20/62G06V10/267G06F18/241
Inventor 葛咏赵维恒贾远信
Owner INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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