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Multi-source remote sensing data-based ghost phenomenon recognition and analysis method

A technology of remote sensing data and analysis methods, applied in image analysis, image data processing, data processing applications, etc.

Pending Publication Date: 2021-09-07
CHINESE ACAD OF SURVEYING & MAPPING
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method for identifying and analyzing ghost town phenomena based on multi-source remote sensing data, so as to solve the aforementioned problems in the prior art

Method used

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  • Multi-source remote sensing data-based ghost phenomenon recognition and analysis method
  • Multi-source remote sensing data-based ghost phenomenon recognition and analysis method
  • Multi-source remote sensing data-based ghost phenomenon recognition and analysis method

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Experimental program
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Embodiment 1

[0038] Such as figure 1 As shown, in this embodiment, a method for identifying and analyzing ghost town phenomena based on multi-source remote sensing data is provided, including the following steps,

[0039] S1. Obtain the land index parameters and population index parameters of the target area;

[0040] S2. Obtain the time, space and scene characteristics of the ghost town phenomenon in the target area based on the land index parameters and population index parameters in the target area, and construct an improved ghost town index that includes various feature-related index parameters;

[0041] S3. Grading and evaluating the improved ghost town index, correspondingly forming categories of different levels of ghost town phenomena, and realizing the identification and analysis of the temporal and spatial distribution of ghost town phenomena in the target area and their level classification.

[0042] In this embodiment, the identification and analysis method provided by the pre...

Embodiment 2

[0070] In this embodiment, the execution process of the recognition and analysis method provided by the present invention will be described in detail in combination with specific examples. The test data used MCD12Q1 land cover data with a resolution of 500m and NPP-VIIRS luminous remote sensing data, as well as GlobeLand30 land cover data with a resolution of 30m and Landsat 7ETM+ images, and the coordinate system was WGS84. The test area is oriented to Nanning, Liuzhou, Guilin, Wuzhou, Beihai, Fangchenggang, Qinzhou, Guigang, Chongzuo, Laibin, Hezhou, Yulin, Baise and Hechi in the Guangxi Zhuang Autonomous Region along the Silk Road Economic Belt in 2008 and 2010. Correspondingly referring to the data of the China Urban Statistical Yearbook and the China Urban Construction Statistical Yearbook, based on the above-mentioned various types of ghost town indices, the temporal and spatial distribution of ghost town phenomena and their corresponding degrees in the experimental area ...

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Abstract

The invention discloses a ghost phenomenon recognition and analysis method based on multi-source remote sensing data. The method comprises the following steps: S1, obtaining land type index parameters and population type index parameters of a target region; s2, obtaining time features, space features and scene features of the ghost phenomenon of the target region based on land type index parameters and population type index parameters of the target region, and constructing an improved ghost index containing various feature correlation index parameters; and S3, carrying out grading evaluation on the improved ghost town index, correspondingly forming categories about different levels of the ghost town phenomenon, and realizing recognition analysis of time-space distribution and degree grading of the ghost town phenomenon in the target region. The method has the advantages that the time-space difference and scene difference characteristics visually represented by the ghost phenomenon in the remote sensing image are utilized to establish an index parameter set with the same time-space-scene characteristic strong correlation, and the cognitive degree of the ghost phenomenon is improved from the perspective of remote sensing monitoring.

Description

technical field [0001] The invention relates to the technical field of urban remote sensing monitoring and information extraction and identification, in particular to a method for identifying and analyzing ghost town phenomena based on multi-source remote sensing data. Background technique [0002] The "ghost town phenomenon" is the product of the imbalance between land urbanization and population urbanization in the process of urbanization. Its intuitive manifestations include "few people are seen during the day, few lights are turned on at night" and "there are many buildings but few people". Carrying out effective identification, monitoring, analysis and research on the phenomenon of ghost towns is not only to provide service support for the rational formulation and promotion of urban decision-making plans, but also an important part of the process of promoting the transformation of new urbanization, which has important practical significance and demand value. [0003] Wi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06T7/62G06Q10/06G06Q50/26
CPCG06T7/62G06Q10/0639G06Q50/26G06F18/2411Y02A30/60
Inventor 马小龙柳思聪印洁赵园春王柳郑守住
Owner CHINESE ACAD OF SURVEYING & MAPPING