Change Detection in Multispectral VHR Images Using Spatialized Holder Exponent

被引：3

作者：

Aleksandrowicz, Sebastian ^{[1
]}

Wawrzaszek, Anna ^{[1
]}

Drzewiecki, Wojciech ^{[2
]}

Krupinski, Michal ^{[1
]}

Jenerowicz, Malgorzata ^{[1
]}

机构：

[1] Polish Acad Sci, Earth Observat Dept, Space Res Ctr, PL-00716 Warsaw, Poland

[2] AGH Univ Sci & Technol, Dept Photogrammetry Remote Sensing Environm & Spa, PL-30059 Krakow, Poland

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2022年 / 19卷

关键词：

Fractals; Particle measurements; ISO; Atmospheric measurements; Atmospheric modeling; Satellites; Remote sensing; Change detection; lder exponent; multifractals; texture; DIFFERENCE IMAGE; SEGMENTATION; CLASSIFICATION; FEATURES;

D O I：

10.1109/LGRS.2021.3060837

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

Multifractals have proven to be a valuable tool in image analysis applications and remote sensing (RS). They can be used for image segmentation, texture analysis, and classification. This study explores their applicability to change detection. We present a new approach to image texture description based on the calculation of a spatialized Holder exponent on multispectral satellite data. Holder exponents are evaluated in the context of an unsupervised change detection algorithm, and the classification of change in various land cover classes. Obtained results show that the sensitivity of proposed methods varies from 69% up to 93% with a considerably low level of false alarms.

引用

页数：5

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