Multi-temporal registration of environmental imagery using affine invariant convolutional features

Asim Khan, Anwaar Ulhaq, Randall W. Robinson

Research output: Book chapter/Published conference paperConference paper

Abstract

Repeat photography is a practice of collecting multiple images of the same subject at the same location but at different timestamps for comparative analysis. The visualisation of such imagery can provide a valuable insight for continuous monitoring and change detection. In Victoria, Australia, citizen science and environmental monitoring are integrated through the visitor-based repeat photography of national parks and coastal areas. Repeat photography, however, poses enormous challenges for automated data analysis and visualisation due to variations in viewpoints, scales, luminosity and camera attributes. To address these challenges brought by data variability, this paper introduces a robust multi-temporal image registration approach based on affine invariance and convolutional neural network architecture. Our experimental evaluation on a large repeat photography dataset validates the role of multi-temporal image registration for better visualisation of environmental monitoring imagery. Our research will establish a baseline for the broad area of multi-temporal analysis.

Original languageEnglish
Title of host publicationImage and Video Technology - 9th Pacific-Rim Symposium, PSIVT 2019, Proceedings
EditorsChilwoo Lee, Zhixun Su, Akihiro Sugimoto
PublisherSpringer
Pages269-280
Number of pages12
ISBN (Electronic)9783030348793
ISBN (Print)9783030348786
DOIs
Publication statusPublished - 11 Nov 2019
Event9th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2019 - Charles Sturt University Study Centre, Sydney, Australia
Duration: 18 Nov 201922 Nov 2019
http://www.psivt.org/psivt2019/
http://www.psivt.org/psivt2019/program.html (program)

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11854 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2019
CountryAustralia
CitySydney
Period18/11/1922/11/19
Internet address

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  • Cite this

    Khan, A., Ulhaq, A., & Robinson, R. W. (2019). Multi-temporal registration of environmental imagery using affine invariant convolutional features. In C. Lee, Z. Su, & A. Sugimoto (Eds.), Image and Video Technology - 9th Pacific-Rim Symposium, PSIVT 2019, Proceedings (pp. 269-280). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11854 LNCS). Springer. https://doi.org/10.1007/978-3-030-34879-3_21