FUSION OF SENTINEL-1A AND LANDSAT-8 IMAGES FOR IMPROVING LAND USE/LAND COVER CLASSIFICATION IN SONGKLA PROVINCE, THAILAND

被引：12

作者：

Nuthammachot, N. ^{[1
]}

Stratoulias, D. ^{[2
,3
]}

机构：

[1] Prince Songkla Univ, Fac Environm Management, POB 50 Kor Hong, Hat Yai 90112, Songkhla, Thailand

[2] Ton Duc Thang Univ, Dept Management Sci & Technol Dev, Ho Chi Minh City, Vietnam

[3] Ton Duc Thang Univ, Fac Appl Sci, Ho Chi Minh City, Vietnam

来源：

APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH | 2019年 / 17卷 / 02期

关键词：

multi-source data fusion; resolution merge; SAR; optical; LULC; AREA; SAR;

D O I：

10.15666/aeer/1702_31233135

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

The objective of this study is to compare the performance of different data fusion techniques for improving the land use/land cover types classification accuracy in Hat Yai district, Songkla province, Thailand SAR Sentinel-1A and optical Landsat-8 satellites are used as standalone inputs as well as to perform a data fusion based on the resolution merge and LMVM techniques. The four input datasets are classified with a supervised maximum likelihood algorithm and compared against base land cover maps; the results indicate that resolution merge of optical and SAR satellite images can significantly improve the interpretation and classification accuracy of land cover and land use types at the area of interest.

引用

页码：3123 / 3135

页数：13

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