Institution
Defence Science and Technology Organisation
Nonprofit•Canberra, Australian Capital Territory, Australia•
About: Defence Science and Technology Organisation is a nonprofit organization based out in Canberra, Australian Capital Territory, Australia. It is known for research contribution in the topics: Radar & Clutter. The organization has 2465 authors who have published 3856 publications receiving 90614 citations.
Topics: Radar, Clutter, Laser, Paris' law, Bistatic radar
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors presented a model for predicting the time-to-failure of polymer laminates loaded in tension or compression and exposed to one-sided radiant heating by fire.
140 citations
TL;DR: In this article, the authors described the extension of the previously reported metal-film bolometer technology to the development of a semiconductor-filament bolometer and showed that the IR detectivity can exceed 1 × 10 9 cm Hz 1 2 W −1 for very small detector sizes.
140 citations
TL;DR: Experimental and numerical studies were conducted to investigate the effect of polyurea coatings on the blast resistance of mild steel plates as discussed by the authors, where two coating thicknesses were chosen such that each of the plates had the same areal density of 47g/cm 2 over the test area.
140 citations
TL;DR: The paper presents a case study where the problem is to localise an unknown number of sources using a controllable moving sensor which provides range-only detections and the proposed scheme is found to perform the best.
139 citations
TL;DR: In this paper, a study of the maximum likelihood registration (MLR) algorithm for spatial alignment of multiple, possibly dissimilar (active or passive) sensors is presented, which is a batch algorithm which outputs estimates of the registration parameters, registered sensor measurements and registered target location estimates, expressed in a common coordinate system.
Abstract: A study of the maximum likelihood registration (MLR) algorithm for spatial alignment of multiple, possibly dissimilar (active or passive) sensors is presented. The MLR algorithm is a batch algorithm which outputs estimates of the registration parameters, registered sensor measurements and registered target location estimates, expressed in a common coordinate system. The Cramer-Rao type bound for registration of multiple dissimilar sensors is discussed and some numerical examples for sensor registration are presented in support of the theory.
139 citations
Authors
Showing all 2476 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Peng Shi | 137 | 1371 | 65195 |
| Wayne Hu | 98 | 308 | 33371 |
| Johan A. Martens | 88 | 720 | 28126 |
| Maria Forsyth | 84 | 749 | 33340 |
| Patrick M. Sexton | 75 | 350 | 21559 |
| Xungai Wang | 68 | 675 | 19654 |
| Michael D. Lee | 65 | 288 | 16437 |
| Tanya M. Monro | 65 | 568 | 15880 |
| Jan E. Leach | 64 | 222 | 13086 |
| Raymond C. Boston | 63 | 454 | 15839 |
| Adrian P. Mouritz | 61 | 284 | 14191 |
| Christine E. A. Kirschhock | 52 | 231 | 9225 |
| Robin J. Evans | 52 | 551 | 14169 |
| Chun H. Wang | 51 | 331 | 8300 |
| Branko Ristic | 48 | 253 | 10982 |