A New Method for Extraction of Residential Areas from Multispectral Satellite Imagery

被引：0
作者：
Xu, Rui [1 ,2 ]
Zeng, Yanfang [3 ]
Liang, Quan [1 ,2 ]
机构：
[1] Fujian Univ Technol, Coll Informat Sci & Engn, 3 Xueyuan Rd, Fuzhou 350118, Peoples R China
[2] Fujian Univ Technol, Fujian Prov Key Lab Big Data Min & Applicat, 3 Xueyuan Rd, Fuzhou 350118, Peoples R China
[3] Fujian Normal Univ, Coll Tourism, 1 Keji Rd, Fuzhou 350117, Peoples R China
来源：
INTELLIGENT DATA ANALYSIS AND APPLICATIONS, (ECC 2016) | 2017年 / 535卷
关键词：
Residential areas; Classification; Gabor filter; Multispectral satellite imagery; REMOTE-SENSING IMAGES; CLASSIFICATION; FEATURES;
D O I：
10.1007/978-3-319-48499-0_12
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a new method for residential areas extraction from multispectral satellite imagery. First, the image is preprocessed so that non-residential areas noises such as vegetation regions, shadows and water areas are removed. Second, the preprocessed image is classified into two categories by texture features: residential areas class and non-residential areas class. Finally, the residential areas class is refined by using a series of morphology operations. The experimental results show that this method is effective in extracting residential areas from multispectral satellite imagery.
引用
收藏
页码：93 / 98
页数：6
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