THE benchmark: Transferable representation learning for monocular height estimation
Generating 3-D city models rapidly is crucial for many applications. Monocular height
estimation (MHE) is one of the most efficient and timely ways to obtain large-scale geometric …
estimation (MHE) is one of the most efficient and timely ways to obtain large-scale geometric …
3D Building Reconstruction from Monocular Remote Sensing Images with Multi-level Supervisions
Abstract 3D building reconstruction from monocular remote sensing images is an important
and challenging research problem that has received increasing attention in recent years …
and challenging research problem that has received increasing attention in recent years …
Synrs3d: A synthetic dataset for global 3d semantic understanding from monocular remote sensing imagery
Global semantic 3D understanding from single-view high-resolution remote sensing (RS)
imagery is crucial for Earth Observation (EO). However, this task faces significant challenges …
imagery is crucial for Earth Observation (EO). However, this task faces significant challenges …
Self-Supervised Pre-Training with Monocular Height Estimation for Semantic Segmentation
Monocular height estimation (MHE) is key for generating 3-D city models, essential for swift
disaster response. Moving beyond the traditional focus on performance enhancement, our …
disaster response. Moving beyond the traditional focus on performance enhancement, our …
Handling image and label resolution mismatch in remote sensing
Though semantic segmentation has been heavily explored in vision literature, unique
challenges remain in the remote sensing domain. One such challenge is how to handle …
challenges remain in the remote sensing domain. One such challenge is how to handle …
Weakly-supervised 3D Building Reconstruction from Monocular Remote Sensing Images
3-D building reconstruction from monocular remote sensing imagery is an important
research problem that has been extensively studied for several decades. Although …
research problem that has been extensively studied for several decades. Although …
Disentangled latent transformer for interpretable monocular height estimation
Monocular height estimation (MHE) from remote sensing imagery has high potential in
generating 3D city models efficiently for a quick response to natural disasters. Most existing …
generating 3D city models efficiently for a quick response to natural disasters. Most existing …
HTC-DC Net: Monocular Height Estimation From Single Remote Sensing Images
Three-dimensional geoinformation is of great significance for understanding the living
environment; however, 3-D perception from remote sensing data, especially on a large …
environment; however, 3-D perception from remote sensing data, especially on a large …
LIE-DSM: Leveraging Single Remote Sensing Imagery to Enhance Digital Surface Model Resolution
Z Siyuan, D Jingxian, TB Kabika… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Digital surface models (DSMs) have numerous valuable applications in infrastructure and
industrial development. However, the spatial resolutions of DSMs are often limited due to …
industrial development. However, the spatial resolutions of DSMs are often limited due to …
Impact of architecture on robustness and interpretability of multispectral deep neural networks
Including information from additional spectral bands (eg, near-infrared) can improve deep
learning model performance for many vision-oriented tasks. There are many possible ways …
learning model performance for many vision-oriented tasks. There are many possible ways …