SPOT-5 影像融合方法对比分析

大坝与安全 ›› 2019 ›› Issue (5): 52-.

SPOT-5 影像融合方法对比分析

魏永飞¹ ，周枫² ，张艳兰³

1. 宁波冶金勘察设计研究股份有限公司，浙江宁波，315041；2. 淄博市国土资源局临淄分局，山东淄博，255400；3. 宁波海洋研究院，浙江宁波，315832

收稿日期:2019-04-11 出版日期:2019-10-08 发布日期:2019-10-08
作者简介:魏永飞（1989— ），男，黑龙江克东县人，助理工程师，主要从事工程测量及海洋测绘工作。

Comparison and analysis on SPOT-5 image fusion methods

WEI Yongfei, ZHOU Feng and ZHANG Yanlan

Ningbo Metallurgy Investigation, Design and Research Co., Ltd.

Received:2019-04-11 Online:2019-10-08 Published:2019-10-08

摘要/Abstract

摘要： 利用遥感影像研究塌陷区分布情况的应用中，融合方法和质量评价方法对影像分析结果至关重要。通过Brovey融合、Gram-Schmidt融合、multiplicative融合、主成分融合、HPF融合等五种融合方法对图像进行融合，并分别依据光谱、纹理信息，从主观和客观上对结果进行质量评价，得出主成分分析融合方法最佳的结论，融合后的SPOT-5影像可较好地反映出研究区塌陷分布情况。

关键词: SPOT-5影像, 影像融合, 质量评价

Abstract: In the application of remote sensing image to study the distribution of collapse area, fusion method and quality evaluation method are very important for image analysis results. Five fusion methods, Brovey fusion, Gram-Schmidt fusion, multiplicative fusion, principal component fusion and HPF fusion, are used. The results are evaluated subjectively and objectively based on spectral and texture information respectively. The conclusion is obtained that principal component analysis fusion method is best. The fused SPOT-5 image can better reflect the distribution of collapse in the study area.

Key words: SPOT-5 image, image fusion, quality evaluation

魏永飞,周枫,张艳兰. SPOT-5 影像融合方法对比分析[J]. 大坝与安全, 2019, 0(5): 52-.

WEI Yongfei, ZHOU Feng and ZHANG Yanlan. Comparison and analysis on SPOT-5 image fusion methods[J]. Dam & Safety, 2019, 0(5): 52-.