Multi-temporal Registration of Environmental Imagery Using Affine Invariant Convolutional Features
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Khan, Asim 
ORCID: 0000-0003-0543-3350, Ulhaq, Anwaar ORCID: 0000-0002-5145-7276 and Robinson, Randall ORCID: 0000-0001-8425-0709
(2019)
Multi-temporal Registration of Environmental Imagery Using Affine Invariant Convolutional Features.
In: 9th Pacific-Rim Symposium on Image and Video Technology (PSIVT 2019), 18 November-22 November 2019, Sydney, NSW.
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| Item type | Conference or Workshop Item (Paper) |
| URI | https://vuir.vu.edu.au/id/eprint/40175 |
| DOI | 10.1007/978-3-030-34879-3_21 |
| Official URL | https://link.springer.com/chapter/10.1007%2F978-3-... |
| ISBN | 9783030348786 (print) 9783030348793 (online) |
| Subjects | Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | images; imagery; Australia; multi-temporal image registration; citizen science; environmental monitoring; community based monitoring; deep image registration framework; photographic data; feature maps; deep affine invariant network; image analytics |
| Citations in Scopus | 3 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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