Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest

被引：445

作者：

Debes, Christian ^{[1
]}

Merentitis, Andreas ^{[1
]}

Heremans, Roel ^{[1
]}

Hahn, Juergen ^{[3
]}

Frangiadakis, Nikolaos ^{[1
]}

van Kasteren, Tim ^{[1
]}

Liao, Wenzhi ^{[2
]}

Bellens, Rik ^{[2
]}

Pizurica, Aleksandra ^{[2
]}

Gautama, Sidharta ^{[2
]}

Philips, Wilfried ^{[2
]}

Prasad, Saurabh ^{[4
]}

Du, Qian ^{[5
]}

Pacifici, Fabio ^{[6
]}

机构：

[1] AGT Int, D-64295 Darmstadt, Germany

[2] Ghent Univ iMinds, B-9000 Ghent, Belgium

[3] Tech Univ Darmstadt, D-64283 Darmstadt, Germany

[4] Univ Houston, Houston, TX 77004 USA

[5] Mississippi State Univ, Mississipi State, MS 39762 USA

[6] DigitalGlobe Inc, Longmont, CO 80503 USA

来源：

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING | 2014年 / 7卷 / 06期

基金：

美国国家科学基金会;

关键词：

Data fusion; hyperspectral; Light Detection And Ranging (LiDAR); multi-modal; urban; VHR imagery; REMOTE-SENSING IMAGES; FEATURE-EXTRACTION; DECISION FUSION; RANDOM FOREST; CLASSIFICATION; ALGORITHMS; TRANSFORMATION; PROFILES; DEMS; SVMS;

D O I：

10.1109/JSTARS.2014.2305441

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The 2013 Data Fusion Contest organized by the Data Fusion Technical Committee (DFTC) of the IEEE Geoscience and Remote Sensing Society aimed at investigating the synergistic use of hyperspectral and Light Detection And Ranging (LiDAR) data. The data sets distributed to the participants during the Contest, a hyperspectral imagery and the corresponding LiDAR-derived digital surface model (DSM), were acquired by the NSF-funded Center for Airborne Laser Mapping over the University of Houston campus and its neighboring area in the summer of 2012. This paper highlights the two awarded research contributions, which investigated different approaches for the fusion of hyperspectral and LiDAR data, including a combined unsupervised and supervised classification scheme, and a graph-based method for the fusion of spectral, spatial, and elevation information.

引用

页码：2405 / 2418

页数：14

共 72 条

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