A review of crop water stress assessment using remote sensing
Currently, the world is facing high competition and market risks in improving yield, crop
illness, and crop water stress. This could potentially be addressed by technological …
illness, and crop water stress. This could potentially be addressed by technological …
Identifying the genus or species of individual trees using a three-wavelength airborne lidar system
BC Budei, B St-Onge, C Hopkinson, FA Audet - Remote Sensing of …, 2018 - Elsevier
The identification of individual tree species is crucial for forest inventory, carbon stocks
assessment as well as for habitat and ecosystem change studies. Previous studies have …
assessment as well as for habitat and ecosystem change studies. Previous studies have …
Multimodal hyperspectral remote sensing: An overview and perspective
Since the advent of hyperspectral remote sensing in the 1980s, it has made important
achievements in aerospace and aviation field and been applied in many fields …
achievements in aerospace and aviation field and been applied in many fields …
Land-cover classification of multispectral LiDAR data using CNN with optimized hyper-parameters
Abstract Multispectral LiDAR (Light Detection And Ranging) is characterized of the
completeness and consistency of its spectrum and spatial geometric data, which provides a …
completeness and consistency of its spectrum and spatial geometric data, which provides a …
[HTML][HTML] Object-based analysis of multispectral airborne laser scanner data for land cover classification and map updating
During the last 20 years, airborne laser scanning (ALS), often combined with passive
multispectral information from aerial images, has shown its high feasibility for automated …
multispectral information from aerial images, has shown its high feasibility for automated …
Multispectral LiDAR point cloud classification using SE-PointNet++
A multispectral light detection and ranging (LiDAR) system, which simultaneously collects
spatial geometric data and multi-wavelength intensity information, opens the door to three …
spatial geometric data and multi-wavelength intensity information, opens the door to three …
Multispectral LiDAR data for land cover classification of urban areas
Airborne Light Detection And Ranging (LiDAR) systems usually operate at a monochromatic
wavelength measuring the range and the strength of the reflected energy (intensity) from …
wavelength measuring the range and the strength of the reflected energy (intensity) from …
[HTML][HTML] AGFP-Net: Attentive geometric feature pyramid network for land cover classification using airborne multispectral LiDAR data
Accurate land cover (LC) classification plays an important role in ecosystem protection,
climate changes, and urban planning. The airborne multispectral LiDAR data are …
climate changes, and urban planning. The airborne multispectral LiDAR data are …
Introducing improved transformer to land cover classification using multispectral LiDAR point clouds
Z Zhang, T Li, X Tang, X Lei, Y Peng - Remote Sensing, 2022 - mdpi.com
The use of Transformer-based networks has been proposed for the processing of general
point clouds. However, there has been little research related to multispectral LiDAR point …
point clouds. However, there has been little research related to multispectral LiDAR point …
[HTML][HTML] Airborne multispectral LiDAR point cloud classification with a feature reasoning-based graph convolution network
This paper presents a feature reasoning-based graph convolution network (FR-GCNet) to
improve the classification accuracy of airborne multispectral LiDAR (MS-LiDAR) point …
improve the classification accuracy of airborne multispectral LiDAR (MS-LiDAR) point …