Download our dataset and put your algorithms to the test.
logos RIT Chester F. Carlson Center for Imaging Science Hyperspectives U.S. Air Force Research Laboratory Sensors Directorate Digital Imaging and Remote Sensing

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What is this?

The Target Detection Blind Test project aims to provide a standard hyperspectral dataset to the remote sensing community. Additionally, the project will score the ability of target finding algorithms used on the dataset provided. These services are provided for free — after registering, anyone can access this project's data and evaluation services.

Currently, we provide two datasets. The first includes a hyperspectral image, high resolution imagery, spectral libraries of targets in the scene, and the location of targets in the scene. The second dataset provides a different hyperspectral image, high resolution imagery, and spectral libraries, but does not include information about the location of targets within the scene. This second dataset will allow for a blind test to be performed of any given target finding algorithm, which will allow for us to evaluate that algorithm. Once the algorithm produces a result, it can be uploaded to this site and will be scored against truth data which we will keep private. This happens in real time, and can be compared with other algorithms used on the data.


Up until now, there have been few examples where hyperspectral information has been provided in the free and easily accessible way that the Target Detection Blind Test Project provides. For people who wish to simply create target detection algorithms, and don't want to worry about going out to the field and collecting data, this is a perfect fit — the data has already been collected and processed, all you need to do is download it. This data contains no restricted information and the rights to it are possessed by the organizations that fund this project. Because of this, it can be used by anyone who wishes to use it, and it may be used in publications.

This project is based in the Digital Imaging and Remote Sensing laboratory, a research group that is a part of the Chester F. Carlson Center for Imaging Science located at the Rochester Institute of Technology. Data was collected and preprocessed by Hyperspectives, Inc. This project is funded in part by the United States Air Force Research Laboratory Sensors Directorate.

Project Personnel

Project Lead: John Kerekes, Center for Imaging Science, RIT
Development Lead: David Snyder, Center for Imaging Science, RIT

Project Forum

Isaac Gerg, Penn State, has started a Discussion Forum on this project. The link is RIT Hyperspectral Target Detection Blind Test Forum.

Reference Citation

Further details on this project are available in the following publication.

D. Snyder, J. Kerekes, I. Fairweather, R. Crabtree, J. Shive, and S. Hager, “Development of a Web-based Application to Evaluate Target Finding Algorithms,” Proceedings of the 2008 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2, pp. 915-918, Boston, MA, 2008.