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Information Fusion, Volume 6
Volume 6, Number 1, March 2005
- Belur V. Dasarathy:

A special issue on diversity in multiple classifier systems. 1 - Ludmila I. Kuncheva

:
Diversity in multiple classifier systems. 3-4 - Gavin Brown, Jeremy L. Wyatt

, Rachel Harris, Xin Yao
:
Diversity creation methods: a survey and categorisation. 5-20 - Terry Windeatt

:
Diversity measures for multiple classifier system analysis and design. 21-36 - Mordechai Gal-Or, Jerrold H. May, William E. Spangler:

Assessing the predictive accuracy of diversity measures with domain-dependent, asymmetric misclassification costs. 37-48 - Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer

, W. Philip Kegelmeyer:
Ensemble diversity measures and their application to thinning. 49-62 - Dymitr Ruta, Bogdan Gabrys:

Classifier selection for majority voting. 63-81 - Alexey Tsymbal, Mykola Pechenizkiy

, Padraig Cunningham
:
Diversity in search strategies for ensemble feature selection. 83-98 - Prem Melville, Raymond J. Mooney:

Creating diversity in ensembles using artificial data. 99-111
Volume 6, Number 2, June 2005
- Belur V. Dasarathy:

Information fusion in the context of human-machine interfaces. 117-118 - Rick S. Blum

:
Robust image fusion using a statistical signal processing approach. 119-128 - Angelos Amditis

, Aris Polychronopoulos, Nikolaos Floudas, Luisa Andreone:
Fusion of infrared vision and radar for estimating the lateral dynamics of obstacles. 129-141 - Zengyou He

, Xiaofei Xu, Shengchun Deng:
A cluster ensemble method for clustering categorical data. 143-151 - Mohamad Khaled Allouche:

Real-time use of Kohonen's self-organizing maps for threat stabilization. 153-163 - Michael B. Hurley:

An extension of statistical decision theory with information theoretic cost functions to decision fusion: Part II. 165-174 - Shihong Yue, Ping Li, Zong-Xian Yin:

Parameter estimation for Choquet fuzzy integral based on Takagi-Sugeno fuzzy model. 175-182
Volume 6, Number 3, September 2005
- Belur V. Dasarathy:

A special issue on fusion of remotely sensed data over urban areas. 187 - Paolo Gamba

, Olaf Hellwich, Pierfrancesco Lombardo
:
Fusion of remotely sensed data over urban areas. 189-192 - Florence Laporterie-Déjean, Hélène de Boissezon, Guy Flouzat, Marie-José Lefèvre-Fonollosa:

Thematic and statistical evaluations of five panchromatic/multispectral fusion methods on simulated PLEIADES-HR images. 193-212 - Andrea Garzelli

, Filippo Nencini:
Interband structure modeling for Pan-sharpening of very high-resolution multispectral images. 213-224 - Yun Zhang, Gang Hong:

An IHS and wavelet integrated approach to improve pan-sharpening visual quality of natural colour IKONOS and QuickBird images. 225-234 - S. Mohammad Ya'allah, Mohammad Reza Saradjian:

Automatic normalization of satellite images using unchanged pixels within urban areas. 235-241 - Dan Johan Weydahl, Frédéric Bretar, Pål Bjerke:

Comparison of RADARSAT-1 and IKONOS satellite images for urban features detection. 243-249 - Belur V. Dasarathy:

Finding FUN in FUsioN - XX. Inf. Fusion 6(3): 251 (2005)
Volume 6, Number 4, December 2005
- Belur V. Dasarathy:

The special issue on fusion of remotely sensed data over urban areas - Part II. 255 - Xiaoying Jin, Curt H. Davis:

An integrated system for automatic road mapping from high-resolution multi-spectral satellite imagery by information fusion. 257-273 - Thomas Vögtle, Eberhard Steinle:

Fusion of 3D building models derived from first and last pulse laserscanning data. 275-281 - Franz Rottensteiner

, John C. Trinder
, Simon Clode, Kurt Kubik:
Using the Dempster-Shafer method for the fusion of LIDAR data and multi-spectral images for building detection. 283-300 - Uwe Soergel, Karsten Schulz

, Ulrich Thoennessen, Uwe Stilla
:
Integration of 3D data in SAR mission planning and image interpretation in urban areas. 301-310 - Martin Weis, Sönke Müller, Claus-E. Liedtke, Martin Pahl:

A framework for GIS and imagery data fusion in support of cartographic updating. 311-317 - Paolo Gamba

, Fabio Dell'Acqua, Belur V. Dasarathy:
Urban remote sensing using multiple data sets: Past, present, and future. 319-326

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