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09/12/2023
Real-Time Semantic Segmentation: A Brief Survey Comparative Study in Remote Sensing
Real-time semantic segmentation of remote sensing imagery is a challengi...
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09/05/2023
SyntheWorld: A Large-Scale Synthetic Dataset for Land Cover Mapping and Building Change Detection
Synthetic datasets, recognized for their cost effectiveness, play a pivo...
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08/23/2023
Understanding Dark Scenes by Contrasting Multi-Modal Observations
Understanding dark scenes based on multi-modal image data is challenging...
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03/17/2023
A Simple Attempt for 3D Occupancy Estimation in Autonomous Driving
The task of estimating 3D occupancy from surrounding view images is an e...
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10/19/2022
OpenEarthMap: A Benchmark Dataset for Global High-Resolution Land Cover Mapping
We introduce OpenEarthMap, a benchmark dataset, for global high-resoluti...
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10/03/2022
Unsupervised Multimodal Change Detection Based on Structural Relationship Graph Representation Learning
Unsupervised multimodal change detection is a practical and challenging ...
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09/26/2022
EOD: The IEEE GRSS Earth Observation Database
In the era of deep learning, annotated datasets have become a crucial as...
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07/19/2022
Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution
Self-supervised cross-modal super-resolution (SR) can overcome the diffi...
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05/28/2022
V4D: Voxel for 4D Novel View Synthesis
Neural radiance fields have made a remarkable breakthrough in the novel ...
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04/03/2022
ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework
In this paper, a computation efficient regression framework is presented...
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11/04/2021
Building Damage Mapping with Self-PositiveUnlabeled Learning
Humanitarian organizations must have fast and reliable data to respond t...
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12/30/2020
Fast Hyperspectral Image Recovery via Non-iterative Fusion of Dual-Camera Compressive Hyperspectral Imaging
Coded aperture snapshot spectral imaging (CASSI) is a promising techniqu...
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11/23/2020
Building a Parallel Universe Image Synthesis from Land Cover Maps and Auxiliary Raster Data
We synthesize both optical RGB and SAR remote sensing images from land c...
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10/24/2020
Non-local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration
Non-local low-rank tensor approximation has been developed as a state-of...
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09/14/2020
Learning from Multimodal and Multitemporal Earth Observation Data for Building Damage Mapping
Earth observation technologies, such as optical imaging and synthetic ap...
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07/23/2020
Illumination invariant hyperspectral image unmixing based on a digital surface model
Although many spectral unmixing models have been developed to address sp...
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07/23/2020
Guided Deep Decoder: Unsupervised Image Pair Fusion
The fusion of input and guidance images that have a tradeoff in their in...
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06/24/2020
X-ModalNet: A Semi-Supervised Deep Cross-Modal Network for Classification of Remote Sensing Data
This paper addresses the problem of semi-supervised transfer learning wi...
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06/09/2020
Breaking the Limits of Remote Sensing by Simulation and Deep Learning for Flood and Debris Flow Mapping
We propose a framework that estimates inundation depth (maximum water le...
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03/06/2020
Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration
Interferometric phase restoration has been investigated for decades and ...
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01/06/2020
Hyperspectral Super-Resolution via Coupled Tensor Ring Factorization
Hyperspectral super-resolution (HSR) fuses a low-resolution hyperspectra...
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12/18/2019
Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification
Up to the present, an enormous number of advanced techniques have been d...
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12/18/2019
Learning Shared Cross-modality Representation Using Multispectral-LiDAR and Hyperspectral Data
Due to the ever-growing diversity of the data source, multi-modality fea...
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01/09/2019
Learnable Manifold Alignment (LeMA) : A Semi-supervised Cross-modality Learning Framework for Land Cover and Land Use Classification
In this paper, we aim at tackling a general but interesting cross-modali...
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12/30/2018
CoSpace: Common Subspace Learning from Hyperspectral-Multispectral Correspondences
With a large amount of open satellite multispectral imagery (e.g., Senti...
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12/19/2018
Multisource and Multitemporal Data Fusion in Remote Sensing
The sharp and recent increase in the availability of data captured by di...
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12/11/2018
Non-local Meets Global: An Integrated Paradigm for Hyperspectral Denoising
Non-local low-rank tensor approximation has been developed as a state-of...
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10/29/2018
An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing
Hyperspectral imagery collected from airborne or satellite sources inevi...
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08/15/2018
Joint & Progressive Learning from High-Dimensional Data for Multi-Label Classification
Despite the fact that nonlinear subspace learning techniques (e.g. manif...
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07/26/2018
Multi-temporal Sentinel-1 and -2 Data Fusion for Optical Image Simulation
In this paper, we present the optical image simulation from a synthetic ...
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04/17/2015