 | 2011 |
| 20 |  | Shuowen Hu,
Heesung Kwon,
Raghuveer Rao:
Robust classification using support vector machine in low-dimensional manifold space for automatic target recognition.
AIPR 2011: 1-4 |
| 19 |  | Prudhvi Gurram,
Heesung Kwon:
Generalized optimal Kernel-Based Ensemble Learning for hyperspectral classification problems.
IGARSS 2011: 4431-4434 |
| 18 |  | Prudhvi Gurram,
Heesung Kwon:
Support-Vector-Based Hyperspectral Anomaly Detection Using Optimized Kernel Parameters.
IEEE Geosci. Remote Sensing Lett. 8(6): 1060-1064 (2011) |
| 2010 |
| 17 |  | Prudhvi Gurram,
Heesung Kwon:
A full diagonal bandwidth gaussian kernel SVM based ensemble learning for hyperspectral chemical plume detection.
IGARSS 2010: 2804-2807 |
| 16 |  | Heesung Kwon,
Prudhvi Gurram:
Optimal kernel bandwidth estimation for hyperspectral kernel-based anomaly detection.
IGARSS 2010: 2812-2815 |
| 2007 |
| 15 |  | Heesung Kwon,
Nasser M. Nasrabadi:
A Comparative Analysis of Kernel Subspace Target Detectors for Hyperspectral Imagery.
EURASIP J. Adv. Sig. Proc. 2007: (2007) |
| 14 |  | Heesung Kwon,
Nasser M. Nasrabadi:
Kernel Spectral Matched Filter for Hyperspectral Imagery.
International Journal of Computer Vision 71(2): 127-141 (2007) |
| 2006 |
| 13 |  | Heesung Kwon,
Nasser M. Nasrabadi:
Kernel Matched Subspace Detectors for Hyperspectral Target Detection.
IEEE Trans. Pattern Anal. Mach. Intell. 28(2): 178-194 (2006) |
| 2005 |
| 12 |  | Heesung Kwon,
Nasser M. Nasrabadi:
Hyperspectral target detection using kernel orthogonal subspace projection.
ICIP (2) 2005: 702-705 |
| 11 |  | Heesung Kwon,
Nasser M. Nasrabadi:
Kernel orthogonal subspace projection for hyperspectral signal classification.
IEEE T. Geoscience and Remote Sensing 43(12): 2952-2962 (2005) |
| 10 |  | Heesung Kwon,
Nasser M. Nasrabadi:
Kernel RX-algorithm: a nonlinear anomaly detector for hyperspectral imagery.
IEEE T. Geoscience and Remote Sensing 43(2): 388-397 (2005) |
| 2004 |
| 9 |  | Heesung Kwon,
Nasser M. Nasrabadi:
Hyperspectral target detection using kernel matched subspace detector.
ICIP 2004: 3327-3330 |
| 8 |  | Heesung Kwon,
Nasser M. Nasrabadi:
Hyperspectral anomaly detection using kernel rx-algorithm.
ICIP 2004: 3331-3334 |
| 2003 |
| 7 |  | Heesung Kwon,
Sandor Z. Der,
Nasser M. Nasrabadi:
Projection-based adaptive anomaly detection for hyperspectral imagery.
ICIP (1) 2003: 1001-1004 |
| 2001 |
| 6 |  | Heesung Kwon,
Nasser M. Nasrabadi:
An adaptive segmentation algorithm using iterative local feature extraction for hyperspectral imagery.
ICIP (1) 2001: 74-77 |
| 5 |  | Heesung Kwon,
Sandor Z. Der,
Nasser M. Nasrabadi:
Unsupervised segmentation algorithm based on an iterative spectral dissimilarity measure for hyperspectral imagery.
VCIP 2001: 144-152 |
| 2000 |
| 4 |  | Heesung Kwon,
Sandor Z. Der,
Nasser M. Nasrabadi:
An Adaptive Hierarchical Segmentation Algorithm Based on Quadtree Decomposition for Hyperspectral Imagery.
ICIP 2000 |
| 1998 |
| 3 |  | Heesung Kwon,
Mahesh Venkatraman,
Nasser M. Nasrabadi:
Very-Low-Bit-Rate Video Coding using Quadtree Decomposition and Cache-based Vector Quantization.
ICIP (3) 1998: 962-966 |
| 2 |  | Heesung Kwon,
Mahesh Venkatraman,
Nasser M. Nasrabadi:
Multiscale video compression using adaptive finite-state vector quantization.
J. Electronic Imaging 7(4): 725-739 (1998) |
| 1997 |
| 1 |  | Heesung Kwon,
Mahesh Venkatraman,
Nasser M. Nasrabadi:
Very Low Bit-Rate Video Coding Using Variable Block-Size Entropy-Constrained Residual Vector Quantizers.
IEEE Journal on Selected Areas in Communications 15(9): 1714-1725 (1997) |