Intelligent extraction method of build-up area on the basis of nighttime light data

A technology for nighttime lighting and extraction methods, which is applied to instruments, character and pattern recognition, computer parts and other directions, and can solve the problems of threshold time and regional differences that have great influence, cannot adapt to built-up area extraction, and limited accuracy.

CN106127121AInactive Publication Date: 2016-11-16四川省遥感信息测绘院
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2016-11-16
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention relates to an intelligent extraction method of a build-up area on the basis of nighttime light data. The intelligent extraction method comprises the following steps: adopting an adaptive particle swarm optimization algorithm to realize the optimal selection of the selection parameters of a VIIRS (Visible Infrared Imaging Radiometer Suite) nighttime light image sample and a MODIS (Moderate Resolution Imaging Spectroradiometer) normalized difference vegetation index image sample; adopting a region growing algorithm based on SVM (Support Vector Machine) classification to finish SVM model training, and adopting a cross validation method to carry out precision validation on the model; and according to an optimized parameter, determining a city sample and a non-city sample, and adopting the region growing algorithm based on the SVM to extract a city built-area range. By use of the intelligent extraction method, from a sample selection source, the adaptive optimization of a sample selection parameter is carried out, and the SVM and the region growing algorithm are adopted to improve processing efficiency and precision for the nighttime light data to extract the nighttime light data.
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Description

technical field

[0001] The invention relates to an extraction method, in particular to an intelligent extraction method for built-up areas based on night light data. Background technique

[0002] With the acceleration of urbanization, research on the spatial layout and spatial expansion of urbanized regions is becoming more and more important at the regional and even national scales. At present, the extraction of urban built-up areas mainly uses land use survey data, TM / ETM or MODIS image interpretation data, but the processing efficiency is slow, and there is a certain difference between the extracted built-up area results and the real development level of the city. The extraction of city limits from remote sensing data has attracted more and more attention. Currently, the commonly used methods focus on the threshold method. However, the accuracy of using the threshold method to extract the range of built-up areas from nighttime light remote sensing data is limited, and the...

Examples

Embodiment

[0130] Taking the NPP / VIIRS night light remote sensing data and MODIS NDVI data of a certain city as an example, the algorithm in the present invention is used to automatically extract the urban space, and the comparison effect between the original remote sensing data and the processing results is as follows: image 3 shown.