Search Results - "Chanussot, Jocelyn"

An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing by Danfeng Hong, Yokoya, Naoto, Chanussot, Jocelyn, Xiao Xiang Zhu

“…Hyperspectral imagery collected from airborne or satellite sources inevitably suffers from spectral variability, making it difficult for spectral unmixing to…”
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Nonlocal Patch Tensor Sparse Representation for Hyperspectral Image Super-Resolution by Yang Xu, Zebin Wu, Chanussot, Jocelyn, Zhihui Wei

“…This paper presents a hypserspectral image (HSI) super-resolution method, which fuses a low-resolution HSI (LR-HSI) with a high-resolution multispectral image…”
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Graph Convolutional Networks for Hyperspectral Image Classification by Hong, Danfeng, Gao, Lianru, Yao, Jing, Zhang, Bing, Plaza, Antonio, Chanussot, Jocelyn

“…Convolutional neural networks (CNNs) have been attracting increasing attention in hyperspectral (HS) image classification due to their ability to capture…”
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CoSpace: Common Subspace Learning From Hyperspectral-Multispectral Correspondences by Hong, Danfeng, Yokoya, Naoto, Chanussot, Jocelyn, Zhu, Xiao Xiang

“…With a large amount of open satellite multispectral (MS) imagery (e.g., Sentinel-2 and Landsat-8), considerable attention has been paid to global MS land cover…”
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l₀-l₁ Hybrid Total Variation Regularization and its Applications on Hyperspectral Image Mixed Noise Removal and Compressed Sensing by Wang, Minghua, Wang, Qiang, Chanussot, Jocelyn, Hong, Danfeng

“…The total variation (TV) regularization has been widely used in various applications related to hyperspectral (HS) signal and image processing due to its…”
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StfNet: A Two-Stream Convolutional Neural Network for Spatiotemporal Image Fusion by Liu, Xun, Deng, Chenwei, Chanussot, Jocelyn, Hong, Danfeng, Zhao, Baojun

“…Spatiotemporal image fusion is considered as a promising way to provide Earth observations with both high spatial resolution and frequent coverage, and…”
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Hyperspectral and Multispectral Data Fusion: A comparative review of the recent literature by Yokoya, Naoto, Grohnfeldt, Claas, Chanussot, Jocelyn

“…In recent years, enormous efforts have been made to design image-processing algorithms to enhance the spatial resolution of hyperspectral (HS) imagery. One of…”
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Deep learning in multimodal remote sensing data fusion: A comprehensive review by Li, Jiaxin, Hong, Danfeng, Gao, Lianru, Yao, Jing, Zheng, Ke, Zhang, Bing, Chanussot, Jocelyn

“…With the extremely rapid advances in remote sensing (RS) technology, a great quantity of Earth observation (EO) data featuring considerable and complicated…”
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ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features by Wu, Xin, Hong, Danfeng, Tian, Jiaojiao, Chanussot, Jocelyn, Li, Wei, Tao, Ran

“…With the rapid development of spaceborne imaging techniques, object detection in optical remote sensing imagery has drawn much attention in recent decades…”
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A Convex Formulation for Hyperspectral Image Superresolution via Subspace-Based Regularization by Simoes, Miguel, Bioucas-Dias, Jose, Almeida, Luis B., Chanussot, Jocelyn

“…Hyperspectral remote sensing images (HSIs) usually have high spectral resolution and low spatial resolution. Conversely, multispectral images (MSIs) usually…”
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Progress and Challenges in Intelligent Remote Sensing Satellite Systems by Zhang, Bing, Wu, Yuanfeng, Zhao, Boya, Chanussot, Jocelyn, Hong, Danfeng, Yao, Jing, Gao, Lianru

“…Due to advances in remote sensing satellite imaging and image processing technologies and their wide applications, intelligent remote sensing satellites are…”
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Learning to propagate labels on graphs: An iterative multitask regression framework for semi-supervised hyperspectral dimensionality reduction by Hong, Danfeng, Yokoya, Naoto, Chanussot, Jocelyn, Xu, Jian, Zhu, Xiao Xiang

“…Hyperspectral dimensionality reduction (HDR), an important preprocessing step prior to high-level data analysis, has been garnering growing attention in the…”
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A Critical Comparison Among Pansharpening Algorithms by Vivone, Gemine, Alparone, Luciano, Chanussot, Jocelyn, Dalla Mura, Mauro, Garzelli, Andrea, Licciardi, Giorgio A., Restaino, Rocco, Wald, Lucien

“…Pansharpening aims at fusing a multispectral and a panchromatic image, featuring the result of the processing with the spectral resolution of the former and…”
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Noise Reduction in Hyperspectral Imagery: Overview and Application by Rasti, Behnood, Scheunders, Paul, Ghamisi, Pedram, Licciardi, Giorgio, Chanussot, Jocelyn

“…Hyperspectral remote sensing is based on measuring the scattered and reflected electromagnetic signals from the Earth’s surface emitted by the Sun. The…”
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Burnt-Net: Wildfire burned area mapping with single post-fire Sentinel-2 data and deep learning morphological neural network by Seydi, Seyd Teymoor, Hasanlou, Mahdi, Chanussot, Jocelyn

“…[Display omitted] •Proposing an End-to-End deep learning framework to map burned areas using Sentinel-2 imagery.•Proposing a multi-patching scenario for…”
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Fourier-Based Rotation-Invariant Feature Boosting: An Efficient Framework for Geospatial Object Detection by Wu, Xin, Hong, Danfeng, Chanussot, Jocelyn, Xu, Yang, Tao, Ran, Wang, Yue

“…Geospatial object detection (GOD) of remote sensing imagery has been attracting increasing interest in recent years, due to the rapid development in spaceborne…”
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Feature Extraction for Hyperspectral Imagery: The Evolution From Shallow to Deep: Overview and Toolbox by Rasti, Behnood, Hong, Danfeng, Hang, Renlong, Ghamisi, Pedram, Kang, Xudong, Chanussot, Jocelyn, Benediktsson, Jon Atli

“…Hyperspectral images (HSIs) provide detailed spectral information through hundreds of (narrow) spectral channels (also known as dimensionality or bands), which…”
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Hyperspectral Remote Sensing Image Classification Based on Rotation Forest by Xia, Junshi, Du, Peijun, He, Xiyan, Chanussot, Jocelyn

“…In this letter, an ensemble learning approach, Rotation Forest, has been applied to hyperspectral remote sensing image classification for the first time. The…”
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Dynamical Spectral Unmixing of Multitemporal Hyperspectral Images by Henrot, Simon, Chanussot, Jocelyn, Jutten, Christian

“…In this paper, we consider the problem of unmixing a time series of hyperspectral images. We propose a dynamical model based on linear mixing processes at each…”
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Blind Hyperspectral Unmixing Using an Extended Linear Mixing Model to Address Spectral Variability by Drumetz, Lucas, Veganzones, Miguel-Angel, Henrot, Simon, Phlypo, Ronald, Chanussot, Jocelyn, Jutten, Christian

“…Spectral unmixing is one of the main research topics in hyperspectral imaging. It can be formulated as a source separation problem, whose goal is to recover…”
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