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

Oct 22, 2024 · While the fusion of hyperspectral and lidar data has shown great potential for many applications, most existing studies have focused on using ...

The repository contains the implementations for Coupled Adversarial Learning for Fusion Classification of Hyperspectral and LiDAR Data - Ding-Kexin/IF_CALC.

2016. Coupled adversarial learning for fusion classification of hyperspectral and LiDAR data. T Lu, K Ding, W Fu, S Li, A Guo. Information Fusion 93, 118-131, ...

Coupled adversarial learning for fusion classification of hyperspectral and LiDAR data · 来自dx.doi.org. 作者. T Lu，K Ding，W Fu，S Li，A Guo. 摘要. Hyperspectral ...

6 days ago · Coupled adversarial learning for fusion classification of hyperspectral and LiDAR data. Abstract. Hyperspectral image (HSI) provides rich ...

One CNN is designed to learn spectral-spatial features from hyperspectral data, and the other one is used to capture the elevation information from LiDAR data.

Nov 18, 2024 · ... combined classification of HSI and LiDAR data ... Coupled adversarial learning for fusion classification of hyperspectral and LiDAR data.

The final results demonstrate that the proposed framework can significantly outperform state-of-the-art methods even with small-size training samples. Index ...

Finally, the four CPMs are combined using the multiprobability decision fusion method to achieve the optimal classification results. This fusion process enables ...