In this paper, a point-wise deep learning-based method is proposed for LC classification based on airborne multispectral LiDAR data.

In this paper, a point-wise deep learning-based method is proposed for LC classification based on airborne multispectral LiDAR data. We present a novel ...

AGFP-Net: Attentive geometric feature pyramid network for land cover classification using airborne multispectral LiDAR data ... Authors: Dilong Li; Xin Shen ...

In this paper, a point-wise deep learning-based method is proposed for LC classification based on airborne multispectral LiDAR data. We present a novel ...

AGFP-Net: Attentive geometric feature pyramid network for land cover classification using airborne multispectral LiDAR data. 2022, International Journal of ...

AGFP-Net: Attentive geometric feature pyramid network for land cover classification using airborne multispectral LiDAR data. Date:2022-09-14 Hits: 83. Journal ...

Sep 9, 2022 · AGFP-Net: Attentive geometric feature pyramid network for land cover classification using airborne multispectral LiDAR data. Int. J. Appl ...

AGFP-Net: Attentive geometric feature pyramid network for land cover classification using airborne multispectral LiDAR data. Int. J. Appl. Earth Obs. Geoinf ...

AGFP-Net: Attentive geometric feature pyramid network for land cover classification using airborne m... April 2022 · International Journal of Applied Earth ...

AGFP-Net: Attentive geometric feature pyramid network for land cover classification using airborne multispectral LiDAR data · Dilong LiXin Shen +5 authors