Prof. John A. Saghri Profile

Prof. John A. Saghri

Professor at California Polytechnic State Univ San Louis Obispo

SPIE Involvement:

Conference Program Committee | Author

Publications (30)

Proceedings Article | 22 September 2015 Paper

Detection of smoke plume for a land-based early forest fire detection system

John Saghri, John Jacobs, Tim Davenport, David Garges

Proc. SPIE. 9599, Applications of Digital Image Processing XXXVIII

KEYWORDS: Infrared imaging, Visible radiation, Cameras, Video, Digital filtering, Image filtering, Video processing, Infrared signatures, Flame detectors, RGB color model

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Proceedings Article | 26 September 2013 Paper

Early forest fire detection using dual mid-wave and long-wave infrared cameras

Raul-Alexander Aldama, Ansel Boynton, John Saghri, John Jacobs

Proc. SPIE. 8856, Applications of Digital Image Processing XXXVI

KEYWORDS: Long wavelength infrared, Infrared cameras, Mid-IR, Optical filters, Carbon dioxide, Cameras, Video, Infrared radiation, Electronic filtering, Flame detectors

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Proceedings Article | 15 October 2012 Paper

Characterization and identification of smoke plume for early forest fire detection

John Saghri, John Jacobs, Daniel Kohler, Tim Davenport, Georges Moussa

Proc. SPIE. 8499, Applications of Digital Image Processing XXXV

KEYWORDS: Infrared cameras, Mid-IR, Optical filters, Visible radiation, Principal component analysis, Cameras, Video, Image filtering, Video processing, Flame detectors

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Proceedings Article | 24 September 2011 Paper

Early forest fire detection using principal component analysis of infrared video

John Saghri, Ryan Radjabi, John Jacobs

Proc. SPIE. 8135, Applications of Digital Image Processing XXXIV

KEYWORDS: Infrared detectors, Infrared cameras, Infrared imaging, Visible radiation, Cameras, Video, Digital filtering, Infrared radiation, Infrared signatures, Flame detectors

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Proceedings Article | 8 September 2010 Paper

Three-dimensional target modeling with synthetic aperture radar

John Hupton, John Saghri

Proc. SPIE. 7798, Applications of Digital Image Processing XXXIII

KEYWORDS: Radar, Reflectors, 3D acquisition, Data modeling, Synthetic aperture radar, Image processing, 3D modeling, Feature extraction, Target recognition, 3D image processing

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SPIE Journal Paper | 1 May 2010

Adaptive two-stage Karhunen-Loeve-transform scheme for spectral decorrelation in hyperspectral bandwidth compression

John Saghri, Seton Schroeder, Andrew Tescher

OE Vol. 49 Issue 05

KEYWORDS: Image compression, Matrices, Hyperspectral imaging, Image processing, Optical engineering, Imaging systems, Image classification, Receivers, Computer programming, Error analysis

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Proceedings Article | 2 September 2009 Paper

An adaptive two-stage KLT scheme for spectral decorrelation in hyperspectral bandwidth compression

John Saghri, Seton Schroeder, Andrew Tescher

Proc. SPIE. 7443, Applications of Digital Image Processing XXXII

KEYWORDS: Hyperspectral imaging, Image compression, Imaging systems, Matrices, Image processing, Error analysis, Receivers, Distortion, Quality measurement, Image quality

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Proceedings Article | 15 September 2008 Paper

SAR automatic target recognition using maximum likelihood template-based classifiers

John Saghri

Proc. SPIE. 7073, Applications of Digital Image Processing XXXI

KEYWORDS: Radar, Detection and tracking algorithms, Databases, Synthetic aperture radar, Image processing, Feature extraction, Image classification, Target recognition, Automatic target recognition, Performance modeling

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Proceedings Article | 24 September 2007 Paper

A rectangular-fit classifier for synthetic aperture radar automatic target recognition

John Saghri, Daniel Cary

Proc. SPIE. 6696, Applications of Digital Image Processing XXX

KEYWORDS: Target detection, Detection and tracking algorithms, Databases, Synthetic aperture radar, Image processing, Digital filtering, Image filtering, Automatic target recognition, Binary data, Mahalanobis distance

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The utility of a rectangular-fit classifier for Synthetic Aperture Radar Automatic Target Recognition (SAR ATR) is examined. The target is fitted with and modeled as a rectangle that can best approximate its boundary. The rectangular fit procedure involves 1) a preprocessing phase to remove the background clutter and noise, 2) a pose detection phase to establish the alignment of the rectangle via a least squares straight line fitting algorithm, and 3) size determination phase via stretching the width and the height dimensions of the rectangle in order to encapsulate a pre-specified, e.g., 90%, of the points in the target. A training set composed of approximately half the total images in the MSTAR public imagery database are used to obtain and record the statistical variations in the width and height of the resulting rectangles for each potential target. The remaining half of the images is then used to assess the performance of this classifier. Preliminary results using minimum Euclidean and Mahalanobis distance classifiers show overall accuracies of 44% and 42%, respectively. Although the classification accuracy is relatively low, this technique can be successfully used in combination with other classifiers such as peaks, edges, corners, and shadow-based classifiers to enhance their performances. A unique feature of the rectangular fit classifier is that it is rotation invariant in its present form. However, observation of the dataset reveals that in general the shapes of the targets in SAR imagery are not fully rotation invariant. Thus, the classification accuracy is expected to improve considerably using multiple training sets, i.e., one training set generated and used for each possible pose. The tradeoff is the increased computation complexity which tends to be offset by ever increasing efficiency and speed of the processing hardware and software. The rectangular fit classifier can also be used as a pose detection routine and/or in conjunction with other ATR schemes, such as shadow-based ATR, that require an initial pose detection phase prior to matching.

Proceedings Article | 24 August 2006 Paper

Exploitation of target shadows in synthetic aperture radar imagery for automatic target recognition

John Saghri, Andrew DeKelaita

Proc. SPIE. 6312, Applications of Digital Image Processing XXIX

KEYWORDS: Target detection, Radar, Detection and tracking algorithms, Synthetic aperture radar, Image processing, Computing systems, Personal digital assistants, Image classification, Target recognition, Automatic target recognition

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Proceedings Article | 16 September 2005 Paper

Hausdorff probabilistic feature analysis in SAR image recognition

John Saghri, Chessa Guilas

Proc. SPIE. 5909, Applications of Digital Image Processing XXVIII

KEYWORDS: Detection and tracking algorithms, Synthetic aperture radar, Image processing, Feature extraction, Image analysis, Image classification, Target recognition, Automatic target recognition, Binary data, Classification systems

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Proceedings Article | 2 November 2004 Paper

Bandwidth compression of hyperspectral imagery data using a simplified KLT/JPEG 2000 approach

John Saghri, Andrew Tescher, Anthony Planinac

Proc. SPIE. 5558, Applications of Digital Image Processing XXVII

KEYWORDS: Hyperspectral imaging, Image compression, Image processing, Error analysis, Hyperspectral systems, Multispectral imaging, Neodymium, Electrical engineering, Standards development, Image quality standards

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Proceedings Article | 19 November 2003 Paper

KLT/JPEG 2000 multispectral bandwidth compression with region-of-interest prioritization capability

John Saghri, Andrew Tescher, Anthony Planinac

Proc. SPIE. 5203, Applications of Digital Image Processing XXVI

KEYWORDS: Image compression, Digital image processing, Computing systems, Computer programming, Computer simulations, Multispectral imaging, Image quality, Image classification, Electrical engineering, Standards development

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Proceedings Article | 21 November 2002 Paper

Analysis of JPEG versus JPEG 2000 for the KLT-based compression of multispectral imagery data

John Saghri, Andrew Tescher, Frank Kozak

Proc. SPIE. 4790, Applications of Digital Image Processing XXV

KEYWORDS: Landsat, Data compression, Image compression, Sensors, Satellites, Satellite imaging, Multispectral imaging, Image sensors, Image classification, Earth observing sensors

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SPIE Journal Paper | 1 April 2002

Class-prioritized compression of multispectral imagery data

John Saghri, Andrew Tescher, Mohamed Omran

JEI Vol. 11 Issue 02

KEYWORDS: Image compression, Multispectral imaging, Landsat, Algorithm development, Image transmission, Standards development, Associative arrays, Sensors, Spatial resolution, Earth observing sensors

Proceedings Article | 7 December 2001 Paper

Feature-prioritized compression of multispectral imagery data

John Saghri, Andrew Tescher, Mohamed Omran

Proc. SPIE. 4472, Applications of Digital Image Processing XXIV

KEYWORDS: Landsat, Image compression, Receivers, Control systems, Feature extraction, Multispectral imaging, Image transmission, Algorithm development, Standards development, Earth observing sensors

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Proceedings Article | 28 December 2000 Paper

Impact of lossy compression on the classification of remotely sensed imagery data

John Saghri, Andrew Tescher, Belal Mohammad

Proc. SPIE. 4115, Applications of Digital Image Processing XXIII

KEYWORDS: Statistical analysis, Landsat, Image compression, Data modeling, Sensors, Image processing, Quantization, Image classification, Computer engineering, Earth observing sensors

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SPIE Journal Paper | 1 December 1999

Spectral-signature-preserving compression of multispectral data

John Saghri, Andrew Tescher, A. Boujarwah

OE Vol. 38 Issue 12

KEYWORDS: Distortion, Data compression, Image compression, Data modeling, Spectral resolution, Optical engineering, Multispectral imaging, Sensors, Algorithm development, Error analysis

Proceedings Article | 18 October 1999 Paper

Viable end-member selection scheme for spectral unmixing of multispectral satellite imagery data

John Saghri, Andrew Tescher, Farid Jaradi

Proc. SPIE. 3808, Applications of Digital Image Processing XXII

KEYWORDS: Landsat, Image compression, FDA class I medical device development, Sensors, Satellites, Satellite imaging, Multispectral imaging, Distance measurement, Niobium, Earth observing sensors

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SPIE Journal Paper | 1 July 1999

Spaced-based data compression issues

John Saghri, Andrew Tescher, John Reagan

JEI Vol. 8 Issue 03

KEYWORDS: Image compression, Data compression, Clouds, Algorithm development, Data modeling, Spatial resolution, Image processing, Distortion, Spectral resolution, Image quality standards

Proceedings Article | 22 January 1999 Paper

Space-based data compression issues

John Saghri, Andrew Tescher, Ahmed Boushehri

Proc. SPIE. 3528, Multimedia Systems and Applications

KEYWORDS: Data compression, Image compression, Data modeling, Image processing, Distortion, Clouds, Spectral resolution, Spatial resolution, Algorithm development, Algorithms

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Proceedings Article | 1 October 1998 Paper

Spectral-signature-preserving compression of multispectral data

John Saghri, M. Laghari, A. Boujarwah, Andrew Tescher

Proc. SPIE. 3460, Applications of Digital Image Processing XXI

KEYWORDS: Data compression, Image compression, Data modeling, Sensors, Distortion, Multispectral imaging, Spectral resolution, Associative arrays, Algorithm development, Algorithms

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Proceedings Article | 30 October 1997 Paper

Environmental data compression issues

Andrew Tescher, John Reagan, John Saghri, Keith Hutchison, Dave Paul, Phillip Topping

Proc. SPIE. 3164, Applications of Digital Image Processing XX

KEYWORDS: Data compression, Image compression, Satellites, Clouds, Satellite imaging, Image transmission, High dynamic range imaging, Algorithm development, Earth observing sensors

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Proceedings Article | 17 November 1995 Paper

Practical issues for transform coding of multispectral imagery

John Saghri, Andrew Tescher, John Reagan

Proc. SPIE. 2587, Geographic Information Systems, Photogrammetry, and Geological/Geophysical Remote Sensing

KEYWORDS: Image compression, Visualization, Image processing, Multispectral imaging, Quantization, High dynamic range imaging, Associative arrays, Algorithm development, Standards development, Visual compression

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Proceedings Article | 5 July 1995 Paper

Practical transform coding of multispectral imagery

John Saghri, Andrew Tescher, John Reagan

Proc. SPIE. 2484, Signal Processing, Sensor Fusion, and Target Recognition IV

KEYWORDS: Image compression, Visualization, Chromium, Multispectral imaging, Quantization, Reconstruction algorithms, Standards development, Image quality standards, Visual compression, Algorithms

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Proceedings Article | 21 September 1994 Paper

Transform coding of multispectral imagery

John Saghri, Andrew Tescher, John Reagan

Proc. SPIE. 2298, Applications of Digital Image Processing XVII

KEYWORDS: Image compression, Visualization, Image processing, Chromium, Multispectral imaging, Telecommunications, Quantization, Standards development, Visual compression, Algorithms

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Proceedings Article | 12 January 1993 Paper

Subpixel resolution for target tracking

John Reagan, Theagenis Abatzoglou, John Saghri, Andrew Tescher

Proc. SPIE. 1771, Applications of Digital Image Processing XV

KEYWORDS: Signal to noise ratio, Point spread functions, Optical sensing, Digital image processing, Sensors, Image processing, Image restoration, Image resolution, Monte Carlo methods, Model-based design

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Proceedings Article | 9 July 1992 Paper

Sonar feature-based bandwidth compression

John Saghri, Andrew Tescher

Proc. SPIE. 1699, Signal Processing, Sensor Fusion, and Target Recognition

KEYWORDS: Logic, Data compression, Image compression, Data modeling, Image processing, Fourier transforms, Feature extraction, Image quality, Algorithm development, Signals intelligence

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SPIE Journal Paper | 1 July 1991

Near-lossless bandwidth compression for radiometric data

John Saghri, Andrew Tescher

OE Vol. 30 Issue 07

KEYWORDS: Image compression, Data compression, Sensors, Image classification, High dynamic range imaging, Clouds, Multispectral imaging, Inspection, Very large scale integration, Video coding

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Proceedings Article | 1 November 1990 Paper

Near-lossless bandwith compression for radiometric data

John Saghri, Andrew Tescher

Proc. SPIE. 1349, Applications of Digital Image Processing XIII

KEYWORDS: Data compression, Image compression, Digital image processing, Sensors, Satellites, Inspection, Clouds, Meteorological satellites, High dynamic range imaging, Image classification

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Showing 5 of 30 publications

Conference Committee Involvement (19)

Applications of Digital Image Processing XLIV

1 August 2021 | San Diego, California, United States

Applications of Digital Image Processing XLIII

24 August 2020 | Online Only, California, United States

Applications of Digital Image Processing XLII

12 August 2019 | San Diego, California, United States

Applications of Digital Image Processing XLI

20 August 2018 | San Diego, California, United States

Applications of Digital Image Processing XL

7 August 2017 | San Diego, California, United States

Applications of Digital Image Processing XXXIX

29 August 2016 | San Diego, California, United States

Applications of Digital Image Processing XXXVIII

10 August 2015 | San Diego, California, United States

Applications of Digital Image Processing XXXVII

18 August 2014 | San Diego, California, United States

Applications of Digital Image Processing XXXVI

26 August 2013 | San Diego, California, United States

Applications of Digital Image Processing XXXV

13 August 2012 | San Diego, California, United States

Applications of Digital Image Processing XXXIV

22 August 2011 | San Diego, California, United States

Applications of Digital Image Processing XXXIII

2 August 2010 | San Diego, California, United States

Applications of Digital Image Processing XXXII

3 August 2009 | San Diego, California, United States

Applications of Digital Image Processing XXXI

11 August 2008 | San Diego, California, United States

Applications of Digital Image Processing XXX

28 August 2007 | San Diego, California, United States

Applications of Digital Image Processing XXIX

15 August 2006 | San Diego, California, United States

Applications of Digital Image Processing XXVIII

2 August 2005 | San Diego, California, United States

Applications of Digital Image Processing XXVII

2 August 2004 | Denver, Colorado, United States

Applications of Digital Image Processing XXVI

5 August 2003 | San Diego, California, United States

Showing 5 of 19 Conference Committees

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