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07/13/2023
Multimodal Object Detection in Remote Sensing
Object detection in remote sensing is a crucial computer vision task tha...
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07/13/2023
Weakly supervised marine animal detection from remote sensing images using vector-quantized variational autoencoder
This paper studies a reconstruction-based approach for weakly-supervised...
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07/07/2023
A Deep Active Contour Model for Delineating Glacier Calving Fronts
Choosing how to encode a real-world problem as a machine learning task i...
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05/09/2023
DC3DCD: unsupervised learning for multiclass 3D point cloud change detection
In a constant evolving world, change detection is of prime importance to...
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04/25/2023
Change detection needs change information: improving deep 3D point cloud change detection
Change detection is an important task to rapidly identify modified areas...
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06/08/2022
Learning Digital Terrain Models from Point Clouds: ALS2DTM Dataset and Rasterization-based GAN
Despite the popularity of deep neural networks in various domains, the e...
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04/14/2022
Detection of Degraded Acacia tree species using deep neural networks on uav drone imagery
Deep-learning-based image classification and object detection has been a...
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04/14/2022
CroCo: Cross-Modal Contrastive learning for localization of Earth Observation data
It is of interest to localize a ground-based LiDAR point cloud on remote...
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11/04/2021
TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift Estimation
The recent developments of deep learning models that capture the complex...
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10/15/2020
Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study
The development of semi-supervised learning techniques is essential to e...
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09/29/2020
Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection
Most deep learning object detectors are based on the anchor mechanism an...
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09/26/2020
Multispectral Fusion for Object Detection with Cyclic Fuse-and-Refine Blocks
Multispectral images (e.g. visible and infrared) may be particularly use...
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03/23/2020
GeoGraph: Learning graph-based multi-view object detection with geometric cues end-to-end
In this paper we propose an end-to-end learnable approach that detects s...
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10/31/2019
Very high resolution Airborne PolSAR Image Classification using Convolutional Neural Networks
In this work, we exploit convolutional neural networks (CNNs) for the cl...
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10/22/2019
Vehicle detection and counting from VHR satellite images: efforts and open issues
Detection of new infrastructures (commercial, logistics, industrial or r...
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09/04/2019
Distance transform regression for spatially-aware deep semantic segmentation
Understanding visual scenes relies more and more on dense pixel-wise cla...
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08/27/2019
Early Classification for Agricultural Monitoring from Satellite Time Series
In this work, we introduce a recently developed early classification mec...
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07/25/2019
Simultaneous multi-view instance detection with learned geometric soft-constraints
We propose to jointly learn multi-view geometry and warping between view...
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05/28/2019
BreizhCrops: A Satellite Time Series Dataset for Crop Type Identification
This dataset challenges the time series community with the task of satel...
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04/24/2019
Deep Learning for Classification of Hyperspectral Data: A Comparative Review
In recent years, deep learning techniques revolutionized the way remote ...
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01/30/2019
End-to-end Learning for Early Classification of Time Series
Classification of time series is a topical issue in machine learning. Wh...
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06/18/2018
Classification of remote sensing images using attribute profiles and feature profiles from different trees: a comparative study
The motivation of this paper is to conduct a comparative study on remote...
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06/07/2018
Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples
This work addresses the scarcity of annotated hyperspectral data require...
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03/27/2018
Recent Developments from Attribute Profiles for Remote Sensing Image Classification
Morphological attribute profiles (APs) are among the most effective meth...
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03/22/2018
Buried object detection from B-scan ground penetrating radar data using Faster-RCNN
In this paper, we adapt the Faster-RCNN framework for the detection of u...
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11/23/2017
Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks
In this work, we investigate various methods to deal with semantic label...
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05/23/2017
Towards seamless multi-view scene analysis from satellite to street-level
In this paper, we discuss and review how combined multi-view imagery fro...
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05/17/2017
Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps
In this work, we investigate the use of OpenStreetMap data for semantic ...
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01/20/2017
Fusion of Heterogeneous Data in Convolutional Networks for Urban Semantic Labeling (Invited Paper)
In this work, we present a novel module to perform fusion of heterogeneo...
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09/22/2016
How Useful is Region-based Classification of Remote Sensing Images in a Deep Learning Framework?
In this paper, we investigate the impact of segmentation algorithms as a...
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09/22/2016
Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks
This work investigates the use of deep fully convolutional neural networ...
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09/22/2016
On the usability of deep networks for object-based image analysis
As computer vision before, remote sensing has been radically changed by ...
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07/09/2016
Combining multiple resolutions into hierarchical representations for kernel-based image classification
Geographic object-based image analysis (GEOBIA) framework has gained inc...
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06/15/2016
Combining multiscale features for classification of hyperspectral images: a sequence based kernel approach
Nowadays, hyperspectral image classification widely copes with spatial i...
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04/06/2016