In this paper, we propose a novel ensemble classifier to fuse hyperspectral and LiDAR datasets for classification. First, morphological features are used to ...

Experimental results on a co-registered HS and LiDAR data provide the effectiveness and potentialities of the proposed ensemble classifier.

In this paper, we propose a novel ensemble classifier to fuse hyperspectral and LiDAR datasets for classification. First, morphological features are used to ...

Lidar. Conference Paper. A novel ensemble classifier of hyperspectral and LiDAR data using morphological features. March 2017. DOI:10.1109/ICASSP.2017.7953345.

This letter uses the use of morphological features to fuse a hyperspectral (HS) image and a light detection and ranging (LiDAR)-derived digital surface ...

In this paper, we propose a novel ensemble classifier to fuse hyperspectral and LiDAR datasets for classification. First, morphological features are used to ...

In this letter, the use of morphological features to fuse a hyperspectral (HS) image and a light detection and ranging (LiDAR)-derived digital surface model ( ...

In this letter, the use of morphological features to fuse a hyperspectral (HS) image and a light detection and ranging (LiDAR)-derived digital surface model ...

In this paper, we propose a novel coupled adversarial learning based classification (CALC) method for fusion classification of HSI and LiDAR data.

A novel ensemble classifier of hyperspectral and LiDAR data using morphological features. J. Xia, N. Yokoya, A. Iwasaki. 2017, IEEE International Conference ...