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Color steel tile factory building extraction method based on remote sensing image

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

Active Publication Date: 2020-12-04
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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  • Color steel tile factory building extraction method based on remote sensing image
  • Color steel tile factory building extraction method based on remote sensing image
  • Color steel tile factory building extraction method based on remote sensing image

Examples

Experimental program
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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 color steel tile factory building extraction method based on a remote sensing image, wherein the method comprises the steps: acquiring the remote sensing image which at leastcomprises blue, green, red and near infrared bands, and preprocessing to obtain a spectral reflectance image; respectively carrying out waveband operation RB*(RBRR) and 1-mean (RB+RG+RNIR) on the remote sensing image; combining the two parts; or respectively carrying out waveband operation (RB*(RB-RG)*Abs(RG-RR))<1 / 3> and mean(RNIR+RR)-mean(RB+RG+RR) on the remote sensing image; combining the twoparts; and obtaining two color steel tile extraction formulas. The invention also discloses a corresponding extraction system. Due to the fact that spectral reflectance of ground objects in blue, green, red and near infrared bands has difference, the core idea of the method is to enhance the difference through waveband operation and extract target ground objects through an optimal threshold value, and the target ground objects are color steel tiles so as to achieve extraction of a 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 Applications(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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