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Remote sensing (Basel, Switzerland), ISSN 2072-4292, 06/2018, Volume 10, Issue 7, p. 989
After publication of the research paper [1], the authors noticed errors and wish to make the following corrections [...] 
n/a
Journal Article
1997, Kluwer international series in--electronic materials, science and technology, ISBN 9780792398370, xiv, 368
Book
EURASIP Journal on Advances in Signal Processing, ISSN 1687-6180, 12/2011, Volume 2011, Issue 1, pp. 1 - 25
... Spatial andtemporal point tracking in real hyperspectral images Benjamin Aminov, Ofir Nichtern and Stanley R Rotman * Abstract In this article, we consider... 
Engineering | Dynamic programming algorithm | Track before detect | Signal, Image and Speech Processing | Hyperspectral | Infrared tracking | Variance filter | Algorithms | Tracking | Clouds | Two dimensional | Dynamical systems | Target detection | Temporal logic | Pixels
Journal Article
Proceedings of SPIE - The International Society for Optical Engineering, ISSN 0277-786X, 2011, Volume 8186
We present two methods to improve the well-known algorithms for hyperspectral point target detection: the constrained energy minimization algorithm (CEM), the... 
Blind test | Hyperspectral | Target detection | Algorithms | Images | Spectra | Spatial filtering | Blinds | Pixels | Photonics
Conference Proceeding
Optical Engineering, ISSN 0091-3286, 08/2008, Volume 47, Issue 7, pp. 076402 - 0764013
Our goals in hyperspectral point target detection have been to develop a methodology for algorithm comparison and to advance point target detection algorithms... 
point target detection | Mahalanobis distance | hyperspectral | covariance matrix | IMAGERY | OPTICS | Algorithms | Covariance | Mathematical analysis | Performance enhancement | Segments | Covariance matrix | Pixels | Target detection
Journal Article
Optical engineering, ISSN 0091-3286, 2012, Volume 51, Issue 7, pp. 076202 - 076202
...Commute time distance transformation applied to spectral imagery and its utilization in material clustering James A. Albano David W . Messinger Stanley R... 
spectral image clustering | similarity graphs | remote sensing | graph Laplacian | hyperspectral image analysis | commute time distance | DIMENSIONALITY REDUCTION | OPTICS
Journal Article
Journal of applied remote sensing, ISSN 1931-3195, 1/2012, Volume 6, Issue 1, pp. 063508 - 063508
...Subpixel hyperspectral target detection using local spectral and spatial information Y uval Cohen Dan G. Blumberg Stanley R. Rotman Subpixel hyperspectral... 
ENVIRONMENTAL SCIENCES | detection | remote sensing | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | hyperspectral imaging | targets | spatial filtering | CONSTRAINED ENERGY MINIMIZATION | DETECTION ALGORITHMS
Journal Article
Optical Engineering, ISSN 0091-3286, 01/2007, Volume 45, Issue 12, pp. 126201 - 1262030
This research addresses the problem of tracking a moving point target in a time sequence of hyperspectral images; we focus on the detection of moving targets... 
hyperspectral target detection | tracking point targets | temporal filters | Hyperspectral target detection | Tracking point targets | Temporal filters | OPTICS
Journal Article
Optical Engineering, ISSN 0091-3286, 06/2007, Volume 46, Issue 6, pp. 066402 - 066408
Image fusion has gained importance with the advances in multispectral imaging. We examine four different fusion methods by comparing human observers' target... 
multispectral imaging | eye movements | visual interface | image fusion | visual search | Visual interface | Multispectral imaging | Eye movements | Visual search | Image fusion | OPTICS | COLOR NIGHT-VISION | Human | Tasks | Color | Images | Observers | Resultants | Target detection
Journal Article
Optical Engineering, ISSN 0091-3286, 07/2007, Volume 46, Issue 7, pp. 076402 - 0764015
We analyze the efficacy of various point target detection algorithms for hyperspectral data. We present a novel way to measure the discrimination capability of... 
algorithm performance metric | point target detection | hyperspectral | Point target detection | Hyperspectral | Algorithm performance metric | OPTICS | IMAGES | FILTERS | Algorithms | Effectiveness | Placement | Tradeoffs | False alarms | Images | Standards | Target detection
Journal Article
Proceedings of SPIE - The International Society for Optical Engineering, ISSN 0277-786X, 2012, Volume 8390
Conference Proceeding
Applied Optics, ISSN 1559-128X, 02/2016, Volume 55, Issue 5, pp. 1151 - 1163
Infrared (IR) imagery sequences are commonly used for detecting moving targets in the presence of evolving cloud clutter or background noise. This research... 
STARING IR IMAGERY | HYPERSPECTRAL IMAGES | OPTICS | TRACKING | FILTERS | Usage | Research | Image processing | Infrared imaging | Automation | Clouds | Compressing | Data compression | Data storage | Background noise | Target detection | Pixels
Journal Article
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, ISSN 1939-1404, 06/2014, Volume 7, Issue 6, pp. 2246 - 2255
Journal Article
2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE), 12/2018, pp. 1 - 3
The requirement for change detection in hyperspectral data appears to be an important and necessary tool in a variety of fields such as military, medical,... 
Histograms | Additives | Change detection algorithms | Covariance equalization | Chronochrome | Object detection | Covariance matrices | Target detection | Hyperspectral imaging
Conference Proceeding
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, ISSN 1939-1404, 02/2016, Volume 9, Issue 2, pp. 732 - 743
Journal Article
Proceedings of SPIE - The International Society for Optical Engineering, ISSN 0277-786X, 2012, Volume 8390
Conference Proceeding
Optical Engineering, ISSN 0091-3286, 07/2005, Volume 44, Issue 7, pp. 077002 - 0770010
We present a region-of-interest-based segmentation (ROI-S) algorithm and apply it for automatic target detection. The proposed algorithm requires no templates... 
segmentation | automatic target detection | feature extraction | region of interest | Feature extraction | Region of interest | Segmentation | Automatic target detection | THRESHOLD SELECTION | RECOGNITION | PERFORMANCE | ACQUISITION | SYSTEMS | OPTICS | ENTROPY
Journal Article
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