Winners of 2011 IEEE GRSS Data Fusion Contest Announced

 
 

The 2011 IEEE GRSS Data Fusion Contest was designed to investigate the unique benefits that very high spatial resolution multi-spectral imagery can bring to remote sensing scientists and the greater community. Hundreds of scientists participated in the Contest conducting independent research.

The IEEE GRSS Data Fusion Technical Committee is pleased to proclaim the winners (ex-aequo) of the 2011 Data Fusion Contest:

  • · J. Syryczynski, G. Lemoine, C. Bielski, and D. Poli [European Commission, Joint Research Centre], “BUILDING HEIGHT EXTRACTION FROM MULTI-ANGULAR WORLDVIEW-2 ORTHO READY IMAGES USING GPU-ACCELERATED TEMPLATE MATCHING”

ABSTRACT:

We present a novel method that can automatically and accurately determine object heights in multi-angular WorldView-2 Ortho Ready Product panchromatic images without the need for satellite ephemiris information. The solution uses fast template matching running on the GPU and takes advantage of the parallax in the multi-angular images. Results focus on building heights but the method can be applied to any object in the scene. The method was applied to the full scenes and validated against known building heights acquired from public sources and manually calculated with accuracies of less than 1 m for building heights ranging between 8 and 160 m.

  • · Lingfei Meng and John P. Kerekes [Rochester Institute of Technology], “OBJECT TRACKING USING HIGH RESOLUTION SATELLITE IMAGERY”

ABSTRACT:

High resolution multispectral satellite images with multiangular look capability have tremendous potential applications. We have presented an object tracking algorithm that includes moving object estimation, target modeling, and target matching three-step processing. In the target matching procedure, the Bhattacharyya distance, histogram intersection, and pixel count similarity are combined in a novel regional operator design. Our algorithm has been tested using a set of multi-angular sequence images acquired by the WorldView-2 satellite. The tracking performance is analyzed by the calculation of recall, precision, and F1 score of the test. In this study, we have demonstrated the capability of object tracking in a complex environment with the help of high resolution multispectral satellite imagery.

  • · François Cavayas [University of Montreal], “RADIOMETRIC STANDARDISATION OF MULTI-ANGULAR HIGH RESOLUTION SATELLITE IMAGERY: PROBLEMS AND FEASIBILITY OF A GLOBAL SOLUTION”

ABSTRACT:

It is well known that images of the same area acquired with different sensor viewing angles present high radiometric differences due to the inherent anisotropy of atmospheric scattering and surface reflection. The feasibility of a procedure for the radiometric standardization of multi-angular high-resolution multispectral imagery is discussed in this paper. A sequence of WV02 images is used as experimental data.

Congratulations to the winners whose papers were judged to be superior in terms of sound scientific reasoning, problem definition, methodology, validation, and presentation.

Please, learn more about the winners during the IGARSS 2011 Data Fusion Session (http://igarss11.org/Papers/PublicSessionIndex3.asp?Sessionid=1013):

WHEN: Tuesday, July 26, 08:20 – 10:00

WHERE: Track 9

TU1.T09.1: CONTEXTUAL HIGH-RESOLUTION IMAGE CLASSIFICATION BY MARKOVIAN DATA FUSION, ADAPTIVE TEXTURE EXTRACTION, AND MULTISCALE SEGMENTATION

Gabriele Moser; University of Genoa

Sebastiano B. Serpico; University of Genoa

TU1.T09.3: A HIERARCHICAL MARKOV RANDOM FIELD FOR ROAD NETWORK EXTRACTION AND ITS APPLICATION WITH OPTICAL AND SAR DATA

Talita Perciano; Télécom ParisTech

Florence Tupin; Télécom ParisTech

Roberto Hirata Jr.; Universidade de São Paulo

Roberto M. Cesar Jr.; Universidade de São Paulo

TU1.T09.4: COMBINING SPACE-BORNE SAR DATA AND DIGITAL CAMERA IMAGES TO MONITOR GLACIER FLOW BY REMOTE AND PROXIMAL SENSING

Flavien Vernier; Université de Savoie

Renaud Fallourd; Université de Savoie

Yajing Yan; Université de Savoie

Diana Rosu; Université de Savoie

Emmanuel Trouvé; Université de Savoie

Jean-Marie Nicolas; Télécom ParisTech

Jean-Michel Friedt; Télécom ParisTech

Luc Moreau; Université de Savoie

TU1.T09.5: 2011 GRSS DATA FUSION CONTEST: EXPLOITING WORLDVIEW-2 MULTI-ANGULAR ACQUISITIONS

Fabio Pacifici; DigitalGlobe Inc.

Jocelyn Chanussot; Grenoble Institute of Technology

Qian Du; Mississippi State University