Remote sensing type urban image extracting method

A technology of remote sensing images and extraction methods, applied in the field of remote sensing image processing, can solve the problems of only applicable sample points, huge consumption of manpower and material resources, and high cost.

Active Publication Date: 2015-02-04
INST OF AGRI RESOURCES & REGIONAL PLANNING CHINESE ACADEMY OF AGRI SCI
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Problems solved by technology

Moreover, due to changes in the spectral characteristics of urban areas in different regions, sample points are generally only applicable to the current image and adjacent areas
[0023] ●For global urban analysis, it is necessary to sample each urban area, which consumes a lot of manpower and material resources, and the cost is high

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Embodiment Construction

[0030] The processing flow of the method of the present invention is as Figure 5-6 shown. The method of the present invention uses two types of remote sensing data in combination:

[0031] The four bands of satellite remote sensing images acquired by the VNIR (visible and near-infrared radiometer, visible and near-infrared radiometer) in ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) are denoted as Aster b1 ~Aster b4 , the spectrum ranges are 0.52-0.60μm, 0.63-0.69μm, 0.76-0.86μm (nadir view), 0.76-0.86μm (backward scan), and related derivative product elevation data (slope data, denoted as slope); and

[0032] PALSAR (L-band Phased Array Synthetic Aperture Radar, Phased Array L-band Synthetic Aperture Radar) HH, HV satellite remote sensing images (2 bands, denoted as hh, hv), and the HH band after the incident angle is corrected data (denoted as hh cor ).

[0033] refer to Figure 6 , in step S1, feature extraction is performed on samples of th...

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Abstract

The invention provides a remote sensing type urban image extracting method. The method comprises the following steps: S1, performing characteristics extracting for altitude data of an ASTER VNIR satellite remote sensing image and derived products and a sample of a PALSAR HH / HV satellite remote sensing image; S2, extracting obvious urban and non-urban points based on the spectral characteristics of the urban and non-urban part; S3, performing confidence spreading by the LLGC using the obvious urban and non-urban points as the initial information based on the characteristics distribution feature of data to be classified, so as to obtain an urban confidence map; S4, obtaining the confidence of the whole remote sensing image, weighting and randomly sampling to obtain a training sample; S5, classifying the urban based on SVM, namely, classifying by the SVM method on the basis of the characteristic vectors extracted in the step S1 and the sample data extracted in step S4, and then obtaining a urban map subjected to binarization according to a classification label. With the adoption of the method, the problems of high cost and high time consumption and the like caused by manual sampling in the prior art can be solved.

Description

technical field [0001] The present invention relates to remote sensing image processing technology, and more specifically, to a method for extracting urban areas from remote sensing images. Background technique [0002] The proportion of the global population that is urban continues to grow. More than half of the population currently lives in urban areas. The research on urbanization has an important impact on urban planning, social form analysis, environmental change, disaster control and so on. Geography-related information in urban areas is generally held by administrative units, but there are certain limitations, including the following: [0003] - There are differences in the definition of "urban area" between countries; [0004] - The description of the dynamic changes of the urban area is relatively lagging; [0005] - It is not easy to share information in urban areas; [0006] - It is not easy to obtain accurate urban information in developing countries. [00...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46G06K9/62
CPCG06V20/176G06V10/462G06F18/2411
Inventor 唐华俊邵肖伟周清波史云杨鹏吴文斌
Owner INST OF AGRI RESOURCES & REGIONAL PLANNING CHINESE ACADEMY OF AGRI SCI
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