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Optimum spectral index selection-based high-resolution satellite remote sensing image building extraction method

A satellite remote sensing image and spectral index technology, which is applied in the field of satellite remote sensing image processing and application, can solve the problems of ignoring spectral information and high complexity of extraction algorithm, and achieve the effect of improving accuracy

Inactive Publication Date: 2018-09-28
JILIN UNIV
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Problems solved by technology

[0005] In order to solve the shortcomings of existing high-resolution remote sensing image building extraction algorithms, such as high complexity and ignoring spectral information, the present invention adopts a high-resolution satellite remote sensing image building extraction method based on optimal spectral index selection, which can quickly and efficiently Efficiently extract building information from high-resolution remote sensing satellite images

Method used

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  • Optimum spectral index selection-based high-resolution satellite remote sensing image building extraction method
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  • Optimum spectral index selection-based high-resolution satellite remote sensing image building extraction method

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0034] As shown in Table 1, WorldView-2 images with 0.46m multispectral resolution and 1.8m panchromatic resolution were used as the experimental data of 8-band high-resolution remote sensing images ( figure 2 ), including 7 test data (DS1-DS7), the experimental area is near the Huanglong Gymnasium in Hangzhou City, Zhejiang Province. The real building images of the experimental area were obtained through field observation and expert interpretation, and the results were used as the standard.

[0035] Table 1

[0036] High Resolution Satellite Remote Sensing Imagery

Spatial resolution (m)

Number of MSS bands

Experimental data

WorldView-2

PAN: 0.46, MSS: 1.8

8

DS1-DS7

[0037] Step 1: Image preprocessing

[0038] (a) Image fusion: use the complete remote sensing image processing platform (ENVI) to carry out the Gauss-Schmidt orthogonal transform fusion (Gram-Schmidt Pan Sharperening) method.

[0039] (b) Orthorectification: Accordin...

Embodiment 2

[0066] As shown in Table 3, the QuickBird image (0.61 m panchromatic resolution and 2.44 m multispectral resolution), domestic GF-1 (2 m panchromatic resolution and 8 m multispectral resolution) and GF-2 image (1 m panchromatic resolution and 4 m multispectral resolution) as the experimental data of 4-band high-resolution images ( Figure 4 ), including 6 test data (DS8-DS13, the coverage area is a relatively dense urban area.

[0067] table 3

[0068] image name

Spatial resolution (m)

Number of MSS bands

Experimental data

GF-1

PAN: 2, MSS: 8

4

DS8-DS9

GF-2

PAN: 1, MSS: 4

4

DS10-DS11

QuickBird

PAN: 0.61, MSS: 2.44

4

DS12-DS13

[0069] Step 1: Image preprocessing

[0070] (a) Radiation correction: use ENVI software to perform FLAASH correction (Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes) and radiation calibration processing, and convert the digital quantization value (DN) value...

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Abstract

The invention discloses an optimum spectral index selection-based high-resolution satellite remote sensing image building extraction method, belongs to the technical field of satellite remote sensingimage processing and application, and aims at solving the defects of present building extraction algorithms as follows: (1) the algorithm complexity is relatively high, (2) spectral information is neglected, and (3) the algorithms depend on rectangular shape features of buildings. According to the method, high-resolution satellite remote sensing images are converted into grayscale images after being preprocessed and processed by adoption of optimum spectral indexes, image segmentation is carried out by utilizing an Otsu algorithm to extract building targets, and the correctness and detection rate are further improved through manners of geometric constraint and morphological processing.

Description

technical field [0001] The invention belongs to the technical field of satellite remote sensing image processing and application. Background technique [0002] The precise location and identification of buildings is one of the important information sources for people to do urban planning, population estimation, landscape analysis and environmental measurement. The emergence of multi-band and high-resolution satellite remote sensing images has brought the possibility of automatic acquisition of building information. Building information extraction algorithms based on high-resolution remote sensing images are currently a research hotspot. In recent years, researchers at home and abroad have proposed methods based on image segmentation, auxiliary information and spectral index algorithms to extract building information from remote sensing images according to the characteristics of buildings. Representative studies are as follows: [0003] Unlike traditional pixel-based algori...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/38G06K9/46G06K9/62G06T7/136
CPCG06T7/136G06T2207/10032G06V20/176G06V10/28G06V10/50G06F18/25
Inventor 顾玲嘉曹琼任瑞治
Owner JILIN UNIV
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