Visualization and visual analytics approaches for image and video datasets: A survey
Image and video data analysis has become an increasingly important research area with
applications in different domains such as security surveillance, healthcare, augmented and …
applications in different domains such as security surveillance, healthcare, augmented and …
GAN-based satellite imaging: A survey on techniques and applications
H Mansourifar, A Moskovitz, B Klingensmith… - IEEE …, 2022 - ieeexplore.ieee.org
Satellite image analysis is widely used in many real-time applications, from agriculture to the
military. Due to the wide range of Generative Adversarial Network (GAN) applications in …
military. Due to the wide range of Generative Adversarial Network (GAN) applications in …
CAS Landslide Dataset: A Large-Scale and Multisensor Dataset for Deep Learning-Based Landslide Detection
In this work, we present the CAS Landslide Dataset, a large-scale and multisensor dataset
for deep learning-based landslide detection, developed by the Artificial Intelligence Group at …
for deep learning-based landslide detection, developed by the Artificial Intelligence Group at …
MA-SARNet: A one-shot nowcasting framework for SAR image prediction with physical driving forces
Remote sensing imagery is one of the most widely used data sources for large-scale Earth
observations with consistent spatial and temporal quality. However, the current usage …
observations with consistent spatial and temporal quality. However, the current usage …
Better localized predictions with Out-of-Scope information and Explainable AI: One-Shot SAR backscatter nowcast framework with data from neighboring region
Abstract Synthetic Aperture Radar (SAR) provides 10-m weather-independent global Earth
surface observations for various tasks such as land cover land use mapping, water body …
surface observations for various tasks such as land cover land use mapping, water body …
Learning Images Across Scales Using Adversarial Training
The real world exhibits rich structure and detail across many scales of observation. It is
difficult, however, to capture and represent a broad spectrum of scales using ordinary …
difficult, however, to capture and represent a broad spectrum of scales using ordinary …
Learning to sculpt neural cityscapes
We introduce a system that learns to sculpt 3D models of massive urban environments. The
majority of humans live their lives in urban environments, using detailed virtual models for …
majority of humans live their lives in urban environments, using detailed virtual models for …
Seasonal terrain texture synthesis via Köppen periodic conditioning
T Kanai, Y Endo, Y Kanamori - The Visual Computer, 2024 - Springer
This paper presents the first method for synthesizing seasonal transition of terrain textures
for an input heightfield. Our method reproduces a seamless transition of terrain textures …
for an input heightfield. Our method reproduces a seamless transition of terrain textures …
Advances in AI, cyber systems, and data-driven techniques for large-scale flood mapping
Z Li - 2024 - search.proquest.com
Floods rank among the most devastating natural disasters, challenging humanity for over a
millennium. Recent advancements in physical sciences have significantly enhanced our …
millennium. Recent advancements in physical sciences have significantly enhanced our …
[PDF][PDF] A Complete Bibliography of Computer Graphics
NHF Beebe - 2023 - ctan.math.utah.edu
A Complete Bibliography of Computer Graphics Forum: 2020–2029 Page 1 A Complete
Bibliography of Computer Graphics Forum: 2020–2029 Nelson HF Beebe University of Utah …
Bibliography of Computer Graphics Forum: 2020–2029 Nelson HF Beebe University of Utah …