Dr. Melba M. Crawford Profile

Dr. Melba M. Crawford

Professor of Engineering at Purdue Univ

SPIE Involvement:

Author

Proceedings Article | 14 May 2019 Presentation + Paper

UAV-based multi-sensor multi-platform integration for high throughput phenotyping

Radhika Ravi, Seyyed Meghdad Hasheminasab, Tian Zhou, Ali Masjedi, Karoll Quijano, John Evan Flatt, Melba Crawford, Ayman Habib

Proceedings Volume 11008, 110080E (2019) https://doi.org/10.1117/12.2519190

KEYWORDS: Calibration, LIDAR, Cameras, Sensors, RGB color model, Imaging systems, Scanners, Unmanned aerial vehicles, Data modeling, Clouds

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Proceedings Article | 10 June 2015 Paper

Classification of multi-source sensor data with limited labeled data

Melba Crawford, Saurabh Prasad, Xiong Zhou, Zhou Zhang

Proceedings Volume 9472, 94720Y (2015) https://doi.org/10.1117/12.2180672

KEYWORDS: Image segmentation, Solid state lighting, Remote sensing, Sensors, Hyperspectral imaging, Discrete wavelet transforms, Image classification, Wavelets, Linear filtering, Feature extraction

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Proceedings Article | 4 May 2010 Paper

Terrain classification of ladar data over Haitian urban environments using a lower envelope follower and adaptive gradient operator

Amy Neuenschwander, Melba Crawford, Lori Magruder, Christopher Weed, Richard Cannata, Dale Fried, Robert Knowlton, Richard Heinrichs

Proceedings Volume 7684, 768408 (2010) https://doi.org/10.1117/12.866033

KEYWORDS: LIDAR, Vegetation, Data modeling, Buildings, Modulation, Earthquakes, Floods, Data acquisition, Optical scanning systems, 3D modeling

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Proceedings Article | 5 February 2004 Paper

Adaptive feature selection for hyperspectral data analysis

Donna Korycinski, Melba Crawford, J. Wesley Barnes

Proceedings Volume 5238, (2004) https://doi.org/10.1117/12.517487

KEYWORDS: Feature selection, Data acquisition, Algorithm development, Data analysis, Sensors, Feature extraction, Remote sensing, Binary data, Data centers, Spectral resolution

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Proceedings Article | 14 April 2000 Paper

Multiresolution feature extraction for pairwise classification of hyperspectral data

Shailesh Kumar, Joydeep Ghosh, Melba Crawford

Proceedings Volume 3962, (2000) https://doi.org/10.1117/12.382923

KEYWORDS: Feature extraction, Sensors, Feature selection, Data acquisition, Electromagnetism, Transform theory, Remote sensing, Wavelets, Image classification, Information technology

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Proceedings Article | 30 March 2000 Paper

Classification of hyperspectral data using best-bases feature extraction algorithms

Shailesh Kumar, Joydeep Ghosh, Melba Crawford

Proceedings Volume 4055, (2000) https://doi.org/10.1117/12.380589

KEYWORDS: Feature extraction, Information technology, Sensors, Feature selection, Wavelets, Remote sensing, Electromagnetism, Algorithm development, Sensor technology, Data acquisition

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SPIE Journal Paper | 1 April 1994

Cloud-type discrimination via multispectral textural analysis

Niloufar Lamei, Keith Hutchison, Melba Crawford, Nahid Khazenie

OE, Vol. 33, Issue 04, (April 1994) https://doi.org/10.1117/12.10.1117/12.166920

KEYWORDS: Clouds, Transform theory, Image classification, Image filtering, Gaussian filters, Digital imaging, Satellites, Library classification systems, Image segmentation, Statistical analysis

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Proceedings Article | 15 November 1993 Paper

Efficient edge detection by scale adaptation and recursive half-space filtering

Melba Crawford, Pui Fun Lau

Proceedings Volume 1938, (1993) https://doi.org/10.1117/12.161567

KEYWORDS: Digital filtering, Convolution, Edge detection, Image segmentation, Diffusion, Algorithm development, Image filtering, Detection and tracking algorithms, Anisotropic diffusion, Smoothing

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Proceedings Article | 15 September 1993 Paper

Cloud type discrimination via multispectral textural analysis

Niloufar Lamei, Melba Crawford, Keith Hutchison, Nahid Khazenie

Proceedings Volume 1934, (1993) https://doi.org/10.1117/12.154921

KEYWORDS: Clouds, Transform theory, Image classification, Gaussian filters, Statistical analysis, Image segmentation, Image filtering, Analytical research, Satellites, Signal attenuation

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Showing 5 of 9 publications

Conference Committee Involvement (11)

Image and Signal Processing for Remote Sensing

22 September 2014 | Amsterdam, Netherlands

Image and Signal Processing for Remote Sensing XIX

23 September 2013 | Dresden, Germany

Image and Signal Processing for Remote Sensing

24 September 2012 | Edinburgh, United Kingdom

Image and Signal Processing for Remote Sensing

19 September 2011 | Prague, Czech Republic

Image and Signal Processing for Remote Sensing

20 September 2010 | Toulouse, France

Showing 5 of 11 Conference Committees

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