Application of Multi-source Remote Sensing Technology in Land Use Classification

doi:10.13474/j.cnki.11-2246.2018.0245

测绘通报 ›› 2018, Vol. 0 ›› Issue (8): 56-61.doi: 10.13474/j.cnki.11-2246.2018.0245

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Application of Multi-source Remote Sensing Technology in Land Use Classification

MA Teng¹, LIU Quanming¹, SUN Hong²

1. College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Huhhot 010018, China;
2. Inner Mongolia Autonomous Region Water Supply and Drainage Monitoring Center of Towns, Huhhot 010018, China

Received:2017-10-24 Revised:2018-05-15 Online:2018-08-25 Published:2018-08-30

Abstract

Abstract: In order to improve the accuracy of land use classification and study multi-source remote sensing classification technology,the article analyzes the spectral characteristics and microwave characteristics of land use type such as residential area,arable land,forest,water and unused land.The multi-spectral data GF1 combine with microwave data RADARSAT-2,and the decision tree classifier is used for classifying land use type.The overall classification accuracy of multi-source classification method is 96.6%.The article compares the classification accuracies of the Freeman-Durden three-component method and the multi-spectral method combined maximum likelihood classifier with multi-source method.The results show the multi-source method can achieve complementary of features,and its accuracy is better than multi-spectral method or microwave method.

Key words: microwave remote sensing, surface scattering, volume scattering, secondary scattering, multi-spectral remote sensing, classification accuracy

CLC Number:

P237

MA Teng, LIU Quanming, SUN Hong. Application of Multi-source Remote Sensing Technology in Land Use Classification[J]. 测绘通报, 2018, 0(8): 56-61.

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Application of Multi-source Remote Sensing Technology in Land Use Classification

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