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NASA IMAGESEER: NASA IMAGEs for Science, Education, Experimentation and ResearchA number of web-accessible databases, including medical, military or other image data, offer universities and other users the ability to teach or research new Image Processing techniques on relevant and well-documented data. However, NASA images have traditionally been difficult for researchers to find, are often only available in hard-to-use formats, and do not always provide sufficient context and background for a non-NASA Scientist user to understand their content. The new IMAGESEER (IMAGEs for Science, Education, Experimentation and Research) database seeks to address these issues. Through a graphically-rich web site for browsing and downloading all of the selected datasets, benchmarks, and tutorials, IMAGESEER provides a widely accessible database of NASA-centric, easy to read, image data for teaching or validating new Image Processing algorithms. As such, IMAGESEER fosters collaboration between NASA and research organizations while simultaneously encouraging development of new and enhanced Image Processing algorithms. The first prototype includes a representative sampling of NASA multispectral and hyperspectral images from several Earth Science instruments, along with a few small tutorials. Image processing techniques are currently represented with cloud detection, image registration, and map cover/classification. For each technique, corresponding data are selected from four different geographic regions, i.e., mountains, urban, water coastal, and agriculture areas. Satellite images have been collected from several instruments - Landsat-5 and -7 Thematic Mappers, Earth Observing-1 (EO-1) Advanced Land Imager (ALI) and Hyperion, and the Moderate Resolution Imaging Spectroradiometer (MODIS). After geo-registration, these images are available in simple common formats such as GeoTIFF and raw formats, along with associated benchmark data.
Document ID
20120011804
Document Type
Conference Paper
Authors
Le Moigne, Jacqueline (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Grubb, Thomas G. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Milner, Barbara C. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
August 26, 2013
Publication Date
April 23, 2012
Subject Category
Earth Resources and Remote Sensing
Report/Patent Number
GSFC.CPR.01017.2012
GSFC.CPR.01297.2012
Meeting Information
SPIE 2012 Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII(Baltimore, MD)
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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