Classification and information extraction of plateau landform based on IRS-P6 satellite image

doi:10.6046/gtzyyg.2016.02.19

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Abstract

Compiling geomorphologic map by using remote sensing image has become a main method in the production of medium and small scale map because of its short period, high precision and the fact that it's easy to modify and quick to update. The purpose of this paper is to classify the plateau landform, extract the landform information and compile geomorphologic map by using higher resolution IRS-P6 satellite image in Tianjun County, Qinghai Province. Firstly, RS and GIS technology are used to process the remote sensing image and various sources reference data in order to unify them to the same GIS platform. Secondly, technological methods of the plateau landform information classification and the geomorphologic map compilation with large scale are illustrated in detail. Experiments and practice show that using RS and GIS technology platform can greatly reduce the difficulty of landscape classification and improve the speed and efficiency of landform information classification and map compilation.

Keywords scale invariant feature transform(SIFT) remote sensing image image registration feature extraction

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Issue Date: 14 April 2016

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	LI Fuyu
	YE Famao

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LI Fuyu,YE Famao. Classification and information extraction of plateau landform based on IRS-P6 satellite image[J]. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(2): 120-125.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2016.02.19 OR https://www.gtzyyg.com/EN/Y2016/V28/I2/120

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