Add to ORKGIn this study we proposed a decision fusion method based on the weights of evidence model for land cover classification using multisensor data. The proposed method was evaluated in land cover classification over an urban area using Landsat TM and ENVISAT ASAR data. The results showed that the proposed method effectively combined multisensor data in land cover classification and obtained higher classification accuracy than the use of single source data. ? 2011 KIEES.EI
International audienceThis paper explores a novel data fusion method with the application of Machine...
This paper focuses on evaluating the ability and contribution of using backscatter intensity, textur...
Hyperspectral images and light detection and ranging (LiDAR) data have, respectively, the high spect...
This paper proposed a novel method of decision fusion based on weights of evidence model (WOE). The ...
This paper proposed a decision fusion method based on Tau model for land cover classification. The m...
High-spatial-resolution (HSR) images and high-temporal-resolution (HTR) images have their unique adv...
In recent years, decision fusion techniques have been widely applied in many studies to combine info...
Multi-sensor data fusion has become more and more popular for classification applications. The fusio...
Airborne lidar provides accurate height information of objects on the earth and has been recognized ...
In this paper we present and compare different techniques for the fusion of multitemporal SAR and mu...
International audienceThe classification of very high-resolution remote sensing images from urban ar...
A method for the classification of land cover in urban ar-eas by the fusion of first and last pulse ...
International audienceWith increase of urban population, the cities have an impact more and more imp...
Abstract—The classification of very high resolution remote sens-ing images from urban areas is addre...
Airborne light detection and ranging (LiDAR) has been recognized as a reliable and accurate measurem...
International audienceThis paper explores a novel data fusion method with the application of Machine...
This paper focuses on evaluating the ability and contribution of using backscatter intensity, textur...
Hyperspectral images and light detection and ranging (LiDAR) data have, respectively, the high spect...
This paper proposed a novel method of decision fusion based on weights of evidence model (WOE). The ...
This paper proposed a decision fusion method based on Tau model for land cover classification. The m...
High-spatial-resolution (HSR) images and high-temporal-resolution (HTR) images have their unique adv...
In recent years, decision fusion techniques have been widely applied in many studies to combine info...
Multi-sensor data fusion has become more and more popular for classification applications. The fusio...
Airborne lidar provides accurate height information of objects on the earth and has been recognized ...
In this paper we present and compare different techniques for the fusion of multitemporal SAR and mu...
International audienceThe classification of very high-resolution remote sensing images from urban ar...
A method for the classification of land cover in urban ar-eas by the fusion of first and last pulse ...
International audienceWith increase of urban population, the cities have an impact more and more imp...
Abstract—The classification of very high resolution remote sens-ing images from urban areas is addre...
Airborne light detection and ranging (LiDAR) has been recognized as a reliable and accurate measurem...
International audienceThis paper explores a novel data fusion method with the application of Machine...
This paper focuses on evaluating the ability and contribution of using backscatter intensity, textur...
Hyperspectral images and light detection and ranging (LiDAR) data have, respectively, the high spect...