# S²ENet: Spatial–Spectral Cross-Modal Enhancement Network for Classification of Hyperspectral and LiDAR Data

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/s2enet-spatial-spectral-cross-modal-enhancement-network-for-classification-of/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sheng Fang,Kaiyu Li,Zhe Li |
| Citations | 150 |
| DOI | 10.1109/lgrs.2021.3121028 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3208935369 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Kaiyu Li](https://scholariq.org/researchers/kaiyu-li/)

## Paper primary topic

- [Remote-Sensing Image Classification](https://scholariq.org/topics/remote-sensing-image-classification/)

## Paper topics

- [Remote-Sensing Image Classification](https://scholariq.org/topics/remote-sensing-image-classification/)
- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)
- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.