Advances in fusion of optical imagery and LiDAR point cloud applied to photogrammetry and remote sensing
J Zhang, X Lin - International Journal of Image and Data Fusion, 2017 - Taylor & Francis
ABSTRACT Optical imagery and Light Detection And Ranging (LiDAR) point cloud are two
major data sources in the community of photogrammetry and remote sensing. Optical …
major data sources in the community of photogrammetry and remote sensing. Optical …
CMGFNet: A deep cross-modal gated fusion network for building extraction from very high-resolution remote sensing images
The extraction of urban structures such as buildings from very high-resolution (VHR) remote
sensing imagery has improved dramatically, thanks to recent developments in deep …
sensing imagery has improved dramatically, thanks to recent developments in deep …
Building extraction from airborne laser scanning data: An analysis of the state of the art
This article provides an overview of building extraction approaches applied to Airborne
Laser Scanning (ALS) data by examining elements used in original publications, such as …
Laser Scanning (ALS) data by examining elements used in original publications, such as …
Automatic building extraction from high-resolution aerial images and LiDAR data using gated residual refinement network
J Huang, X Zhang, Q ** of the united states
Establishing up-to-date large scale building maps is essential to understand the urban
dynamics, such as estimating population, urban planning, and many other applications …
dynamics, such as estimating population, urban planning, and many other applications …
Automated detection of buildings from single VHR multispectral images using shadow information and graph cuts
AO Ok - ISPRS journal of photogrammetry and remote sensing, 2013 - Elsevier
In this study, we propose a novel methodology for automated detection of buildings from
single very-high-resolution (VHR) multispectral images. The methodology uses the principal …
single very-high-resolution (VHR) multispectral images. The methodology uses the principal …
A hybrid image segmentation method for building extraction from high-resolution RGB images
Buildings are the most striking artificial features, and extracting buildings becomes critical for
many service-providing agencies. Although improvements have been achieved, building …
many service-providing agencies. Although improvements have been achieved, building …
Ground and building extraction from LiDAR data based on differential morphological profiles and locally fitted surfaces
This paper proposes a new framework for ground extraction and building detection in LiDAR
data. The proposed approach constructs the connectivity of a grid over the LiDAR point …
data. The proposed approach constructs the connectivity of a grid over the LiDAR point …
Vehicular-motion-based DOA estimation with a limited amount of snapshots for automotive MIMO radar
The problem of high-resolution direction-of-arrival (DOA) estimation based on a limited
amount of snapshots in automotive multiple-input multiple-output (MIMO) radar has been …
amount of snapshots in automotive multiple-input multiple-output (MIMO) radar has been …
Multi-resolution feature fusion for image classification of building damages with convolutional neural networks
Remote sensing images have long been preferred to perform building damage
assessments. The recently proposed methods to extract damaged regions from remote …
assessments. The recently proposed methods to extract damaged regions from remote …