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A house vacancy monitoring method based on noctilucent remote sensing data

A technology of remote sensing data and housing, applied in data processing applications, instruments, character and pattern recognition, etc., can solve the problems of lack of system and effectiveness

Active Publication Date: 2019-05-21
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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Problems solved by technology

[0007] In view of the lack of systematicness and effectiveness of existing research, after conducting experiments and objective verification, the present invention proposes a house vacancy monitoring method based on luminous remote sensing data

Method used

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  • A house vacancy monitoring method based on noctilucent remote sensing data
  • A house vacancy monitoring method based on noctilucent remote sensing data
  • A house vacancy monitoring method based on noctilucent remote sensing data

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Embodiment Construction

[0030] The present invention "a house vacancy monitoring method based on luminous remote sensing data" will be further elaborated below in conjunction with the accompanying drawings.

[0031] (1) Data preprocessing

[0032] 1) Mutual correction and saturation correction

[0033] Since there is no continuity between the images of different years, and there is an oversaturation phenomenon in the city center (DN=63), the island of Okinawa, Japan was selected (the night light image of Okinawa includes a wide range of DN values ​​from low to high, which ensures the correction The accuracy of the model; the night light image of the island is relatively less affected by the light on the mainland) is used as a reference image, and the quadratic polynomial model is established by using the constant target area method, and the DMSP-OLS series images are corrected. The correction formula is as follows:

[0034] DN adjusted =C 0 +C 1 ×DN+C 2 ×DN 2

[0035] In the formula, DN repres...

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Abstract

In order to effectively monitor the vacancy phenomenon of a house, the invention discloses a house vacancy monitoring method based on noctilucent remote sensing data, and the method comprises the following steps: 1) cPerforming mutual correction, saturation correction and continuity correction on the DMSP-OLS series images, and performing reprojection, resampling and cutting; 2) extracting urban land and rural residential areas from the land utilization data to serve as built areas, and performing binarization and resampling to obtain built area images of the research areas; 3) calculating a house vacancy index HVI based on the image of the built-up area and the DMSP-OLS image, further monitoring the house vacancy phenomenon in a large scale, and analyzing the space-time distribution characteristics of the vacancy house, and 4) aggregating the obtained house vacancy index in the prefecture-level city to obtain a ghost city index GCI for identifying the ghost city.

Description

technical field [0001] The present invention relates to a house vacancy monitoring method based on luminous remote sensing data. The present invention designs and proposes a new and effective house vacancy index, which is inversely proportional to light intensity and can reflect low-intensity human activities in a certain area. Realizing the monitoring of large-scale vacant houses, and then analyzing the temporal and spatial distribution of vacant houses can provide ideas for urban planning and sustainable urban development. Background technique [0002] With the acceleration of urbanization in China, a large number of vacant houses have appeared in many cities, and ghost towns have even appeared in some cities, resulting in a large waste of land resources and social resources. The monitoring of vacant houses is becoming more and more important. However, there is still a lack of effective housing vacancy monitoring methods, especially the research based on remote sensing mon...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/26G06K9/00
Inventor 孟庆岩郭金辉黄先梅
Owner INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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