This paper reports the outcomes of the 2014 Data Fusion Contest organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (IEEE GRSS). As for previous years, the IADF TC organized a data fusion contest aiming at fostering new ideas and solutions for multisource remote sensing studies. In the 2014 edition, participants considered multiresolution and multisensor fusion between optical data acquired at 20-cm resolution and long-wave (thermal) infrared hyperspectral data at 1-m resolution. The Contest was proposed as a double-track competition: one aiming at accurate landcover classification and the other seeking innovation in the fusion of thermal hyperspectral and color dat...
The paper addresses problems related to classification of images obtained by various types of remote...
International audience—Remote sensing is one of the most common ways to extract relevant information...
International audienceRemote sensing is one of the most common ways to extract relevant information ...
This paper reports the outcomes of the 2014 Data Fusion Contest organized by the Image Analysis and ...
This paper reports the outcomes of the 2014 Data Fusion Contest organized by the Image Analysis and ...
Multi-sensor data fusion has become more and more popular for classification applications. The fusio...
This paper presents the scientific outcomes of the 2018 Data Fusion Contest organized by the Image A...
In this paper, the scientific outcomes of the 2016 Data Fusion Contest organized by the Image Analys...
In this paper, the scientific outcomes of the 2016 Data Fusion Contest organized by the Image Analys...
The recent, sharp increase in the availability of data captured by different sensors, combined with ...
International audienceThe 2018 Data Fusion Contest, organized by the Image Analysis and Da...
In this paper, we report the outcomes of the 2015 data fusion contest organized by the Image Analysi...
This paper presents the scientific outcomes of the 2022 Hyperspectral Pansharpening Challenge organi...
In this paper, we discuss the scientific outcomes of the 2015 data fusion contest organized by the I...
In this paper, we present the scientific outcomes of the 2017 Data Fusion Contest organized by the I...
The paper addresses problems related to classification of images obtained by various types of remote...
International audience—Remote sensing is one of the most common ways to extract relevant information...
International audienceRemote sensing is one of the most common ways to extract relevant information ...
This paper reports the outcomes of the 2014 Data Fusion Contest organized by the Image Analysis and ...
This paper reports the outcomes of the 2014 Data Fusion Contest organized by the Image Analysis and ...
Multi-sensor data fusion has become more and more popular for classification applications. The fusio...
This paper presents the scientific outcomes of the 2018 Data Fusion Contest organized by the Image A...
In this paper, the scientific outcomes of the 2016 Data Fusion Contest organized by the Image Analys...
In this paper, the scientific outcomes of the 2016 Data Fusion Contest organized by the Image Analys...
The recent, sharp increase in the availability of data captured by different sensors, combined with ...
International audienceThe 2018 Data Fusion Contest, organized by the Image Analysis and Da...
In this paper, we report the outcomes of the 2015 data fusion contest organized by the Image Analysi...
This paper presents the scientific outcomes of the 2022 Hyperspectral Pansharpening Challenge organi...
In this paper, we discuss the scientific outcomes of the 2015 data fusion contest organized by the I...
In this paper, we present the scientific outcomes of the 2017 Data Fusion Contest organized by the I...
The paper addresses problems related to classification of images obtained by various types of remote...
International audience—Remote sensing is one of the most common ways to extract relevant information...
International audienceRemote sensing is one of the most common ways to extract relevant information ...