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Remote sensing-based 3d assessment of landslides: A review of the data, methods, and applications
H Albanwan, R Qin, JK Liu - Remote Sensing, 2024 - mdpi.com
Remote sensing (RS) techniques are essential for studying hazardous landslide events
because they capture information and monitor sites at scale. They enable analyzing causes …
because they capture information and monitor sites at scale. They enable analyzing causes …
Sat-nerf: Learning multi-view satellite photogrammetry with transient objects and shadow modeling using rpc cameras
Abstract We introduce the Satellite Neural Radiance Field (Sat-NeRF), a new end-to-end
model for learning multi-view satellite photogrammetry in the wild. Sat-NeRF combines …
model for learning multi-view satellite photogrammetry in the wild. Sat-NeRF combines …
A multi-scale weakly supervised learning method with adaptive online noise correction for high-resolution change detection of built-up areas
Accurate change detection of built-up areas (BAs) fosters a comprehensive understanding of
urban development. The post-classification comparison (PCC) is a widely-used change …
urban development. The post-classification comparison (PCC) is a widely-used change …
Multi-date earth observation NeRF: The detail is in the shadows
Abstract We introduce Earth Observation NeRF (EO-NeRF), a new method for digital surface
modeling and novel view synthesis from collections of multi-date remote sensing images. In …
modeling and novel view synthesis from collections of multi-date remote sensing images. In …
RSNet: The search for remote sensing deep neural networks in recognition tasks
Deep learning algorithms, especially convolutional neural networks (CNNs), have recently
emerged as a dominant paradigm for high spatial resolution remote sensing (HRS) image …
emerged as a dominant paradigm for high spatial resolution remote sensing (HRS) image …
The role of machine intelligence in photogrammetric 3D modeling–an overview and perspectives
The process of modern photogrammetry converts images and/or LiDAR data into usable
2D/3D/4D products. The photogrammetric industry offers engineering-grade hardware and …
2D/3D/4D products. The photogrammetric industry offers engineering-grade hardware and …
Global land-cover map** with weak supervision: Outcome of the 2020 IEEE GRSS data fusion contest
This article presents the scientific outcomes of the 2020 Data Fusion Contest (DFC2020)
organized by the Image Analysis and Data Fusion Technical Committee of the IEEE …
organized by the Image Analysis and Data Fusion Technical Committee of the IEEE …
HMSM-Net: Hierarchical multi-scale matching network for disparity estimation of high-resolution satellite stereo images
Disparity estimation of satellite stereo images is an essential and challenging task in
photogrammetry and remote sensing. Recent researches have greatly promoted the …
photogrammetry and remote sensing. Recent researches have greatly promoted the …
Automated LoD-2 model reconstruction from very-high-resolution satellite-derived digital surface model and orthophoto
Digital surface models (DSM) generated from multi-stereo satellite images are getting higher
in quality owing to the improved data resolution and photogrammetric reconstruction …
in quality owing to the improved data resolution and photogrammetric reconstruction …
The outcome of the 2021 ieee grss data fusion contest—track msd: Multitemporal semantic change detection
We present here the scientific outcomes of the 2021 Data Fusion Contest (DFC2021)
organized by the Image Analysis and Data Fusion Technical Committee of the IEEE …
organized by the Image Analysis and Data Fusion Technical Committee of the IEEE …