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City Recognition Extraction Method Based on Clustering Algorithm for Full Polarimetric SAR Image

A clustering algorithm and extraction method technology, applied in the field of image processing, can solve problems such as image grayscale unevenness, coherent speckle noise, etc.

Active Publication Date: 2019-02-26
HOHAI UNIV
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Problems solved by technology

However, the current situation is that the existing remote sensing mapping products have coherent speckle noise and image grayscale unevenness.

Method used

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  • City Recognition Extraction Method Based on Clustering Algorithm for Full Polarimetric SAR Image
  • City Recognition Extraction Method Based on Clustering Algorithm for Full Polarimetric SAR Image
  • City Recognition Extraction Method Based on Clustering Algorithm for Full Polarimetric SAR Image

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Embodiment Construction

[0025] In order to further describe the technical features and effects of the present invention, the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0026] Such as Figure 1-Figure 4 As shown, a method for city recognition and extraction of fully polarized SAR images based on a clustering algorithm includes the following steps:

[0027] Step 1. Preprocess the four single-channel raw data of the full-polarization SAR image. The preprocessing includes radiometric calibration, data conversion, multi-view processing, Lee filtering, and geocoding.

[0028] Step 2, performing DWT (discrete wavelet) data fusion on the preprocessed single-channel image. For the channel images of the four polarization modes, the two images formed under the HV and VH polarization modes are the same. Flat objects reflect strongly to the VV polarization incident wave, so in the image formed by VV polarization, the characteristic...

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Abstract

The invention discloses a city identification and extraction method of full-polarimetric SAR image based on clustering algorithm, comprising the following steps: 1) preprocessing four single-channel images of full-polarimetric SAR system; 2) perform discrete wavelet data fusion on four single channel images; 3) use density clustering algorithm to extract urban area; 4) merging different urban areaclusters into the same cluster to obtain the merged urban area image; 5) carry out error processing on that combine town area image to obtain the final town area image, The invention provides a fastand low-cost urban area extraction method based on remote sensing technology, which provides a theoretical basis for understanding the urban spatial classification, the utilization of resources such as land and water, and the influence of human activities, thereby providing a theoretical basis for more rational utilization of urban resources.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a method for identifying and extracting cities from fully polarized SAR images based on a clustering algorithm. Background technique [0002] Urban area extraction is a comprehensive evaluation of the utilization of urban space resources. Through the extraction of urban areas, it is possible to understand the utilization of urban land resources, the pressure faced by urban space utilization, and the various impacts on people's life and production, thereby providing a theoretical basis for urban resource protection and space utilization. [0003] More than half of the world's population lives in cities, ushering in a new era of human urbanization. Particularly in developing countries, urban areas are expanding rapidly, often accompanied by informal and illegal land use, loss of fertile soil, traffic congestion and increased ecological vulnerability. The urba...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/176G06F18/23
Inventor 陈嘉琪王健李静刘海韵王峰平学伟
Owner HOHAI UNIV
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