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

Proceedings Volume 9599, 959907 (2015) https://doi.org/10.1117/12.2189352

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

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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

Proceedings Volume 8856, 88560S (2013) https://doi.org/10.1117/12.2027023

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

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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

Proceedings Volume 8499, 84991J (2012) https://doi.org/10.1117/12.930755

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

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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

Proceedings Volume 8135, 81351A (2011) https://doi.org/10.1117/12.895512

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

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Proceedings Article | 8 September 2010 Paper

Three-dimensional target modeling with synthetic aperture radar

John Hupton, John Saghri

Proceedings Volume 7798, 77980P (2010) https://doi.org/10.1117/12.861425

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

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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, 057001, (May 2010) https://doi.org/10.1117/12.10.1117/1.3425656

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

Proceedings Volume 7443, 744313 (2009) https://doi.org/10.1117/12.829000

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

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Proceedings Article | 15 September 2008 Paper

SAR automatic target recognition using maximum likelihood template-based classifiers

John Saghri

Proceedings Volume 7073, 70731I (2008) https://doi.org/10.1117/12.799417

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

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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

Proceedings Volume 6696, 66961B (2007) https://doi.org/10.1117/12.740236

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

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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

Proceedings Volume 6312, 631212 (2006) https://doi.org/10.1117/12.684401

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

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Proceedings Article | 16 September 2005 Paper

Hausdorff probabilistic feature analysis in SAR image recognition

John Saghri, Chessa Guilas

Proceedings Volume 5909, 590903 (2005) https://doi.org/10.1117/12.623699

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

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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

Proceedings Volume 5558, (2004) https://doi.org/10.1117/12.564465

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

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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

Proceedings Volume 5203, (2003) https://doi.org/10.1117/12.512535

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

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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

Proceedings Volume 4790, (2002) https://doi.org/10.1117/12.455370

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

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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, (April 2002) https://doi.org/10.1117/12.10.1117/1.1455008

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

Proceedings Volume 4472, (2001) https://doi.org/10.1117/12.449767

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

Proceedings Volume 4115, (2000) https://doi.org/10.1117/12.411537

KEYWORDS: Image compression, Image classification, Data modeling, Sensors, Statistical analysis, Image processing, Landsat, Quantization, 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, (December 1999) https://doi.org/10.1117/12.10.1117/1.602315

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

Proceedings Volume 3808, (1999) https://doi.org/10.1117/12.365818

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

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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, (July 1999) https://doi.org/10.1117/12.10.1117/1.482678

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

Proceedings Volume 3528, (1999) https://doi.org/10.1117/12.337452

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

Proceedings Volume 3460, (1998) https://doi.org/10.1117/12.323194

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

Proceedings Volume 3164, (1997) https://doi.org/10.1117/12.292765

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

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Proceedings Article | 17 November 1995 Paper

Practical issues for transform coding of multispectral imagery

John Saghri, Andrew Tescher, John Reagan

Proceedings Volume 2587, (1995) https://doi.org/10.1117/12.226812

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

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Proceedings Article | 5 July 1995 Paper

Practical transform coding of multispectral imagery

John Saghri, Andrew Tescher, John Reagan

Proceedings Volume 2484, (1995) https://doi.org/10.1117/12.213071

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

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Proceedings Article | 21 September 1994 Paper

Transform coding of multispectral imagery

John Saghri, Andrew Tescher, John Reagan

Proceedings Volume 2298, (1994) https://doi.org/10.1117/12.186564

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

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Proceedings Article | 12 January 1993 Paper

Subpixel resolution for target tracking

John Reagan, Theagenis Abatzoglou, John Saghri, Andrew Tescher

Proceedings Volume 1771, (1993) https://doi.org/10.1117/12.139050

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

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Proceedings Article | 9 July 1992 Paper

Sonar feature-based bandwidth compression

John Saghri, Andrew Tescher

Proceedings Volume 1699, (1992) https://doi.org/10.1117/12.138240

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

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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, (July 1991) https://doi.org/10.1117/12.10.1117/12.55888

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

Proceedings Volume 1349, (1990) https://doi.org/10.1117/12.23511

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

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Showing 5 of 30 publications

Conference Committee Involvement (23)

Applications of Digital Image Processing XLVIII

3 August 2025 | San Diego, California, United States

Applications of Digital Image Processing XLVII

19 August 2024 | San Diego, California, United States

Applications of Digital Image Processing XLVI

21 August 2023 | San Diego, California, United States

Applications of Digital Image Processing XLV

22 August 2022 | San Diego, California, United States

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 23 Conference Committees

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