Past year
All results
- All results
- Verbatim
Duration: 0:54
Posted: Aug 9, 2023
Posted: Aug 9, 2023
Missing: LiDAR Data.
Mar 8, 2024 · Abstract. The joint classification of hyperspectral image (HSI) and Light Detection and Ranging (LiDAR) data can provide complementary information for each ...
Dec 25, 2023 · We design a dual-branch CNN fusion classification network named as AFC-CNN, which consists of a 2D-CNN for spatial features extraction in LiDAR data, and a ...
Missing: Aware | Show results with:Aware
Apr 5, 2024 · [44] introduced a framework that uses two coupled convolutional neural networks (CNN) to fuse hyperspectral and LiDAR data, extracting spectral-spatial features ...
Aug 15, 2023 · This method constructs the spatial feature extraction branch and spectral feature extraction branch respectively by attention mechanism and multi-grouping ...
Aug 29, 2023 · Deep supervised learning for hyperspectral data classification through convolutional neural networks. ... LiDAR DSM Classification. IEEE Trans. Geosci ...
Dec 29, 2023 · Multimodal attention-aware convolutional neural networks for classification of hyperspectral and LiDAR data [45] (referred to in this paper as MAACNN). ...
Jul 12, 2024 · In this study, an end-to-end adaptive cross-modal fusion network (ACFNet) is proposed for semantic segmentation task using high resolution and light detection ...
Jun 17, 2024 · [2] proposed a real-time framework for object detection in multi-modal remote sensing imagery by performing a mid-stage fusion of RGB and IR modalities. More ...
Apr 24, 2024 · Attention-aware dual-stream network for multimodal face anti-spoofing. ... Deep encoder-decoder networks for classification of hyperspectral and LiDAR data.