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An extraction method of color steel tile factory buildings based on remote sensing images

A remote sensing image and extraction method technology, applied in the field of remote sensing image processing, can solve the problems of high demand for remote sensing image bands, cumbersome processing steps, efficiency and accuracy limitations of color steel tile workshop extraction, etc.

Active Publication Date: 2021-04-20
深圳市数字城市工程研究中心 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The existing technology has a high demand for remote sensing image bands, and the processing steps are relatively cumbersome. The efficiency and accuracy of color steel tile plant extraction are limited to a certain extent.

Method used

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  • An extraction method of color steel tile factory buildings based on remote sensing images
  • An extraction method of color steel tile factory buildings based on remote sensing images
  • An extraction method of color steel tile factory buildings based on remote sensing images

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Embodiment 1

[0042] This embodiment takes the domestic satellite Gaofen-2 (GF-2) satellite data as an example to demonstrate the identification and extraction process of the color steel tile coverage area. The GF-2 satellite is the first civilian optical remote sensing satellite independently developed by my country with a spatial resolution better than 1 meter. It is equipped with two high-resolution 1-meter panchromatic and 4-meter multispectral cameras.

[0043] In this embodiment, the multi-spectral image of Gaofen-2 is used, and remote sensing image preprocessing such as radiation calibration, atmospheric correction, and geometric correction is performed on the image to obtain the reflectance data image. The radiation calibration is based on the coefficient published by the Gaofen-2 satellite data For calibration, the atmospheric correction adopts FLAASH atmospheric correction.

[0044] From the perspective of automatic classification of remote sensing images, the types of land cover ...

Embodiment 2

[0055] On the basis of Embodiment 1, this embodiment is further improved.

[0056] Based on the reflectance characteristics and differences between the above color steel tiles and other ground objects in the four bands of red, green, blue and near-infrared, we improve the above formula 1 to further enhance the difference between color steel tiles and other ground objects.

[0057] First, from the spectral reflectance curve of the color steel tile ( figure 1 c Sample 4) It can be seen that the reflectivity of color steel tiles in the blue light band is greater than that in the green light band, that is, R B -R G >0. Through this condition, most of the vegetation, bare land and artificial surfaces other than color steel tiles can be effectively removed, because the reflectance of vegetation, bare land and artificial surfaces other than color steel tiles in the blue light band is usually smaller than that of green light band, ie R B -R G <0.

[0058] After that, it is neces...

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Abstract

The invention discloses a method for extracting a color steel tile factory building based on remote sensing images, which includes acquiring remote sensing images, the remote sensing images at least include blue, green, red and near-infrared bands, and preprocessing to obtain spectral reflectance images. Perform band operations on remote sensing images separately in R B ×(R B -R R ) and 1‑mean (R B +R G +R NIR ); then merge the two parts; or perform band operations on the remote sensing image separately (R B ×(R B -R G )×|R G -R R |) 1 / 3 and mean(R NIR +R R )‑mean (R B +R G +R R ); and then merge the two parts; two kinds of color steel tile extraction formulas can be obtained. The invention also discloses a corresponding extraction system. Because there are differences in the spectral reflectance of ground features in the blue, green, red and near-infrared bands, the core idea of ​​the present invention is to enhance this difference through band operations, and extract the target ground features through the optimal threshold, the target ground features of the present invention It is the color steel tile to realize the extraction of the color steel tile workshop.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing, and relates to the extraction of color steel tiles (factory building roof materials), in particular to a method for extracting color steel tile factory buildings based on remote sensing images. Background technique [0002] The rapid growth of construction land is the most intuitive spatial manifestation of China's urbanization process. Studies have shown that in the past three decades, China's new construction land area has reached 80,000 square kilometers, of which nearly a quarter has been used for industrial land to meet the growing needs of industrialization. The contradiction between people and land has also become increasingly acute in the process of urbanization in China: on the one hand, more than half of the new construction land comes from the occupation of cultivated land around cities; on the other hand, the demand for urban expansion and industrial land is st...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/25G06K9/00
CPCG01N21/25G01N2021/1797G01N2021/1765G06V20/176G06V20/194
Inventor 施利锋黄贤金王丹阳
Owner 深圳市数字城市工程研究中心
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