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09/20/2023
Self-supervised Domain-agnostic Domain Adaptation for Satellite Images
Domain shift caused by, e.g., different geographical regions or acquisit...
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08/02/2023
UCDFormer: Unsupervised Change Detection Using a Transformer-driven Image Translation
Change detection (CD) by comparing two bi-temporal images is a crucial t...
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06/16/2023
DisasterNets: Embedding Machine Learning in Disaster Mapping
Disaster mapping is a critical task that often requires on-site experts ...
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05/08/2023
High Quality Large-Scale 3-D Urban Mapping with Multi-Master TomoSAR
Multi-baseline interferometric synthetic aperture radar (InSAR) techniqu...
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05/08/2023
Building Footprint Extraction with Graph Convolutional Network
Building footprint information is an essential ingredient for 3-D recons...
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01/26/2023
Universal Domain Adaptation for Remote Sensing Image Scene Classification
The domain adaptation (DA) approaches available to date are usually not ...
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01/09/2023
High-Resolution Cloud Removal with Multi-Modal and Multi-Resolution Data Fusion: A New Baseline and Benchmark
In this paper, we introduce Planet-CR, a benchmark dataset for high-reso...
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10/10/2022
EarthNets: Empowering AI in Earth Observation
Earth observation, aiming at monitoring the state of planet Earth using ...
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06/06/2022
Exploring the Potential of SAR Data for Cloud Removal in Optical Satellite Imagery
The challenge of the cloud removal task can be alleviated with the aid o...
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05/17/2022
Semi-Supervised Building Footprint Generation with Feature and Output Consistency Training
Accurate and reliable building footprint maps are vital to urban plannin...
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12/30/2021
THE Benchmark: Transferable Representation Learning for Monocular Height Estimation
Generating 3D city models rapidly is crucial for many applications. Mono...
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11/22/2021
Solar Potential Assessment using Multi-Class Buildings Segmentation from Aerial Images
Semantic Segmentation of buildings present in satellite images using enc...
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02/22/2021
Adversarial Shape Learning for Building Extraction in VHR Remote Sensing Images
Building extraction in VHR RSIs remains to be a challenging task due to ...
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11/29/2020
Exploring Deep 3D Spatial Encodings for Large-Scale 3D Scene Understanding
Semantic segmentation of raw 3D point clouds is an essential component i...
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06/17/2020
Deep Learning Meets SAR
Deep learning in remote sensing has become an international hype, but it...
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06/06/2020
Instance segmentation of buildings using keypoints
Building segmentation is of great importance in the task of remote sensi...
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03/17/2020
SAR Tomography at the Limit: Building Height Reconstruction Using Only 3-5 TanDEM-X Bistatic Interferograms
Multi-baseline interferometric synthetic aperture radar (InSAR) techniqu...
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02/11/2020
Building Footprint Generation by IntegratingConvolution Neural Network with Feature PairwiseConditional Random Field (FPCRF)
Building footprint maps are vital to many remote sensing applications, s...
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12/19/2019
So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification
Access to labeled reference data is one of the grand challenges in super...
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11/08/2019
Building Segmentation through a Gated Graph Convolutional Neural Network with Deep Structured Feature Embedding
Automatic building extraction from optical imagery remains a challenge d...
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11/05/2018
Non-Local Compressive Sensing Based SAR Tomography
Tomographic SAR (TomoSAR) inversion of urban areas is an inherently spar...
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10/26/2018
