Search Results for author: Gemine Vivone

Found 7 papers, 1 papers with code

Band-wise Hyperspectral Image Pansharpening using CNN Model Propagation

1 code implementation11 Nov 2023 Giuseppe Guarino, Matteo Ciotola, Gemine Vivone, Giuseppe Scarpa

Hyperspectral pansharpening is receiving a growing interest since the last few years as testified by a large number of research papers and challenges.


A Benchmarking Protocol for SAR Colorization: From Regression to Deep Learning Approaches

no code implementations12 Oct 2023 Kangqing Shen, Gemine Vivone, Xiaoyuan Yang, Simone Lolli, Michael Schmitt

To our knowledge, this is the first attempt to propose a research line for SAR colorization that includes a protocol, a benchmark, and a complete performance evaluation.

Benchmarking Colorization +1

Implicit Neural Feature Fusion Function for Multispectral and Hyperspectral Image Fusion

no code implementations14 Jul 2023 ShangQi Deng, RuoCheng Wu, Liang-Jian Deng, Ran Ran, Gemine Vivone

In this paper, inspired by previous work of MHIF task, we realize that HR-MSI could serve as a high-frequency detail auxiliary input, leading us to propose a novel INR-based hyperspectral fusion function named Implicit Neural Feature Fusion Function (INF).

Inductive Bias

A Triple-Double Convolutional Neural Network for Panchromatic Sharpening

no code implementations4 Dec 2021 Tian-Jing Zhang, Liang-Jian Deng, Ting-Zhu Huang, Jocelyn Chanussot, Gemine Vivone

Pansharpening refers to the fusion of a panchromatic image with a high spatial resolution and a multispectral image with a low spatial resolution, aiming to obtain a high spatial resolution multispectral image.


Hyperspectral Image Super-resolution via Deep Spatio-spectral Convolutional Neural Networks

no code implementations29 May 2020 Jin-Fan Hu, Ting-Zhu Huang, Liang-Jian Deng, Tai-Xiang Jiang, Gemine Vivone, Jocelyn Chanussot

In order to alleviate this issue, in this work, we propose a simple and efficient architecture for deep convolutional neural networks to fuse a low-resolution hyperspectral image (LR-HSI) and a high-resolution multispectral image (HR-MSI), yielding a high-resolution hyperspectral image (HR-HSI).

Hyperspectral Image Super-Resolution Image Super-Resolution

Hyperspectral pansharpening: a review

no code implementations17 Apr 2015 Laetitia Loncan, Luis B. Almeida, José M. Bioucas-Dias, Xavier Briottet, Jocelyn Chanussot, Nicolas Dobigeon, Sophie Fabre, Wenzhi Liao, Giorgio A. Licciardi, Miguel Simões, Jean-Yves Tourneret, Miguel A. Veganzones, Gemine Vivone, Qi Wei, Naoto Yokoya

In this work, we compare new pansharpening techniques designed for hyperspectral data with some of the state of the art methods for multispectral pansharpening, which have been adapted for hyperspectral data.


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