Multi-temporal Registration of Environmental Imagery Using Affine Invariant Convolutional Features

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Khan, Asim, 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.

Item type Conference or Workshop Item (Paper)
URI http://vuir.vu.edu.au/id/eprint/40175
Identification Number https://doi.org/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 Current > 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 0 - View on Scopus
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