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David James Crisp

Observed names: Crisp, D. J., D. Crisp, D. J. Crisp, D.J. Crisp, David Crisp, David J Crisp, David J. Crisp
OpenAlex ID: A5057210274
The State-of-the-Art in Ship Detection in Synthetic Aperture Radar Imagery
2004 · David J. Crisp · 452
A Geometric Interpretation of v-SVM Classifiers
1999 · David J. Crisp, Christopher J. C. Burges · 155
Substitution invariant cutting sequences
1993 · D. Crisp, W. Moran, et al. · Journal de Théorie des Nombres de Bordeaux · 113
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Uniqueness of the SVM Solution
1999 · Christopher J. C. Burges, David J. Crisp · 99
Analysis of the KK-distribution with medium grazing angle sea-clutter
2010 · L. Rosenberg, D.J. Crisp, et al. · IET Radar Sonar & Navigation · 83
Implementation of a Fast Algorithm for Segmenting SAR Imagery
2002 · David J. Robinson, N.J. Redding, et al. · Defense Technical Information Center (DTIC) · 73
A ship detection system for RADARSAT-2 dual-pol multi-look imagery implemented in the ADSS
2013 · David James Crisp · International Conference on Radar (RADAR) · 40
Modelling X-band sea clutter with the K-distribution: Shape parameter variation
2009 · David J. Crisp, Luke Rosenberg, et al. · 38
Polarimetric analysis of fine resolution X-band SAR sea clutter data
2005 · N.J.S. Stacy, D. Crisp, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 33
Modelling X-band sea clutter at moderate grazing angles.
2008 · David J. Crisp, Ross Kyprianou, et al. · International Conference on Radar (RADAR) · 28
Target detection in radar imagery using support vector machines with training size biasing
2000 · Hong Gunn Chew, David J. Crisp, et al. · Adelaide Research & Scholarship (AR&S) (University of Adelaide) · 27
Polarimetric analysis of maritime SAR data collected with the DSTO ingara X-Band radar
2007 · D.J. Crisp, N.J.S. Stacy, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 23
Uniqueness theorems for kernel methods
2003 · Christopher J.C. Burges, David J. Crisp · Neurocomputing · 15
Comparison of ship detectors for polarimetric SAR imagery
2010 · David J Crisp, Thomas Keevers · OCEANS'10 IEEE SYDNEY · 12
Analysis of the KK-distribution with X-band medium grazing angle sea-clutter
2009 · Luke Rosenberg, David J. Crisp, et al. · 8
Characterisation of low-PRF X-band sea-clutter doppler spectra
2008 · Luke Rosenberg, David Crisp, et al. · International Conference on Radar (RADAR) · 8
Polarimetric Characteristics of X-Band SAR Sea Clutter
2006 · N. Stacy, M. Preiss, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 7
Fast segmentation of large images
2003 · David J. Crisp, Peter M. Perry, et al. · 7
Improved Data Structures for Fast Region Merging Segmentation Using a Mumford-Shah Energy Functional
2008 · David J. Crisp · International Conference on Digital Image Computing: Techniques and Applications (DICTA) · 5
Closed curves and geodesics with two self-intersections on the Punctured torus
1998 · David Crisp, Susan Dziadosz, et al. · Monatshefte für Mathematik · 5
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Mathematical Analysis of An Extended Mumford-Shah Model for Image Segmentation
2006 · Trevor Chi-Yuen Tao, David James Crisp, et al. · Journal of Mathematical Imaging and Vision · 4
Robust Absolute Calibration for SAR
2018 · David J. Crisp · International Conference on Radar (RADAR) · 3
Comparison of estimation schemes for the K-distribution shape parameter
2009 · Yunhan Dong, David J. Crisp · 3
The Euler decomposition and its application to sea clutter analysis
2008 · Yunhan Dong, David J. Crisp · International Conference on Radar (RADAR) · 3
A useful bound for region merging algorithms in a Bayesian model
2003 · Trevor Chi-Yuen Tao, David J. Crisp · 3
Works count: 32
Citation count: 1,252
H-index: 13
I10-index: 14
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