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Description
This dataset was used for IGARSS Data Fusion Contest 2013.
The Contest involves two datasets – a hyperspectral image and a LiDAR derived DSM, both at the same spatial resolution (2.5m). The hyperspectral imagery consists of 144 spectral bands in the 380 nm to 1050 nm region and has been calibrated to at-sensor spectral radiance units, SRU =μW/(cm2sr nm). The corresponding co-registered DSM consists of elevation in meters above sea level (per the Geoid 2012A model). The data was acquired by the NSF-funded Center for Airborne Laser Mapping (NCALM) over the University of Houston campus and the neighboring urban area. Further details of the data acquisition are as follows – the LiDAR data was acquired on June 22, 2012, between the time 14:37:55 to 15:38:10 UTC. The average height of the sensor above ground was 2000ft; The hyperspectral data was acquired on June 23, 2012 between the times 17:37:10 to 17:39:50 UTC. The average height of the sensor above ground was 5500ft.
Characteristics
Each pixel in the image must be mapped to one of the following integer values depending upon your classification outcome:
| # | Class |
|---|---|
| 0 | Unclassified |
| 1 | Healthy grass |
| 2 | Stressed grass |
| 3 | Synthetic grass |
| 4 | Trees |
| 5 | Soil |
| 6 | Water |
| 7 | Residential |
| 8 | Commercial |
| 9 | Road |
| 10 | Highway |
| 11 | Railway |
| 12 | Parking Lot 1 |
| 13 | Parking Lot 2 |
| 14 | Tennis Court |
| 15 | Running Track |
Credits
The data sets are only avaiable for the scientific purposes of the 2013 IEEE GRSS Data Fusion Contest.
Materials can be used in scientific publications subject to IEEE GRSS Data Fusion Technical Committee approval on case-by-case basis. The data sets should be identifed/referenced in the article as "grss_dfc_2013".
Example:
[1] 2013 IEEE GRSS Data Fusion Contest,
Online: http://www.grss-ieee.org/community/technical-committees/data-fusion/
In the section "Acknowledgement", the University of Houston and GRSS-DFC should be acknowledged.
The authors would like to thank the Hyperspectral Image Analysis group and the NSF Funded Center for Airborne Laser Mapping (NCALM) at the University of Houston for providing the data sets used in this study, and the IEEE GRSS Data Fusion Technical Committee for organizing the 2013 Data Fusion Contest.
Users may not distribute the dataset to others.
Data and copyright information provided by:
Prof. Saurabh Prasad
University of Houston,
USA
E-mail: [email protected]
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