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<!DOCTYPE html>
<html>
<head>
<style>
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display: flex;
flex-direction: column;
align-items: center;
justify-content: center;
padding: 1rem;
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max-width: 2000px; /* 可以根据需要调整最大宽度 */
}
.carousel img {
width: 100%;
height: auto;
max-height: 650px; /* 设置一个合理的最大高度 */
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aspect-ratio: 4 / 3; /* 设置图片的宽高比，这里以4:3为例 */
}
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<meta charset="utf-8">
<!-- Meta tags for social media banners, these should be filled in appropriatly as they are your "business card" -->
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<title>HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model</title>
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<section class="hero">
<div class="hero-body">
<div class="container is-max-desktop">
<div class="columns is-centered">
<div class="column has-text-centered">
<h1 class="title is-1 publication-title">
<img src="Fig/logo1.png" alt="Logo" style="width: 80px; height: auto; vertical-align: middle;">
HyperSIGMA: <br>Hyperspectral Intelligence Comprehension Foundation Model</h1>
<div class="is-size-5 publication-authors">
<span class="author-block">
<a href="https://dotwang.github.io/" target="_blank">Di Wang</a><sup>1,✢</sup>,
</span>
<span class="author-block">
<a href="https://meiqihu.github.io/" target="_blank">Meiqi Hu</a><sup>1,✢</sup>,
</span>
<span class="author-block">
<a href="https://scholar.google.com/citations?hl=en&user=PBqyF80AAAAJ" target="_blank">Yao Jin</a><sup>1,✢</sup>,
</span>
<span class="author-block">
<a href="https://scholar.google.com/citations?hl=en&user=-ec3mwUAAAAJ" target="_blank">Yuchun Miao</a><sup>1,✢</sup>,
</span>
<span class="author-block">
<a href="https://jqyang22.github.io/" target="_blank">Jiaqi Yang</a><sup>1,✢</sup>,
</span>
<span class="author-block">
<a href="https://scholar.google.com/citations?hl=en&user=CxKy4lEAAAAJ" target="_blank">Yichu Xu</a><sup>1,✢</sup>,
</span>
<span class="author-block">
<a href="https://scholar.google.cz/citations?user=gFKE4TMAAAAJ&hl=zh-CN&oi=sra" target="_blank">Xiaolei Qin</a><sup>1,✢</sup>,
</span>
<br>
<span class="author-block">
<a href="https://leonmakise.github.io/" target="_blank">Jiaqi Ma</a><sup>1,✢</sup>,
</span>
<span class="author-block">
<a href="https://github.com/KiwiLYu" target="_blank">Lingyu Sun</a><sup>1,✢</sup>,
</span>
<span class="author-block">
<a href="https://ieeexplore.ieee.org/author/37089818143" target="_blank">Chenxing Li</a><sup>1,✢</sup>,
</span>
<span class="author-block">
<a href="https://www.researchgate.net/profile/Fu-Chuan" target="_blank">Chuan Fu</a><sup>2</sup>,
</span>
<span class="author-block">
<a href="https://chrx97.com/" target="_blank">Hongruixuan Chen</a><sup>3</sup>,
</span>
<br>
<span class="author-block">
<a href="https://chengxihan.github.io/" target="_blank">Chengxi Han</a><sup>1,📧</sup>,
</span>
<span class="author-block">
<a href="https://naotoyokoya.com/" target="_blank">Naoto Yokoya</a><sup>3</sup>,
</span>
<span class="author-block">
<a href="https://scholar.google.com/citations?hl=en&user=9jH5v74AAAAJ&hl=en" target="_blank">Jing Zhang</a><sup>1,📧</sup>,
</span>
<span class="author-block">
<a href="https://openreview.net/profile?id=~Minqiang_Xu1" target="_blank">Minqiang Xu</a><sup>4</sup>,
</span>
<span class="author-block">
<a href="https://ieeexplore.ieee.org/author/37090050631" target="_blank">Lin Liu</a><sup>4</sup>,
</span>
<br>
<span class="author-block">
<a href="https://cs.whu.edu.cn/info/1019/2889.htm" target="_blank">Lefei Zhang</a><sup>1</sup>,
</span>
<span class="author-block">
<a href="http://jszy.whu.edu.cn/wuchen/en/index.htm" target="_blank">Chen Wu</a><sup>1,📧</sup>,
</span>
<span class="author-block">
<a href="https://cs.whu.edu.cn/info/1019/2892.htm" target="_blank">Bo Du</a><sup>1,📧</sup>,
</span>
<span class="author-block">
<a href="https://scholar.google.com/citations?user=RwlJNLcAAAAJ&hl=en" target="_blank">Dacheng Tao</a><sup>5</sup>,
</span>
<span class="author-block">
<a href="http://www.lmars.whu.edu.cn/prof_web/zhangliangpei/rs/index.html" target="_blank">Liangpei Zhang</a><sup>1,📧</sup>,
</span>
</div>
<div class="is-size-5 publication-authors">
<img src="static\images\whu1.png" width="25%"/>
<img src="static\images\cqu1.png" width="25%"/>
<img src="static\images\utokyo.png" width="25%"/>
<br>
<img src="static\images\NERC-SLIP1.png" width="50%"/>
<img src="static\images\NTU.jpg" width="20%"/>
<span class="author-block">Wuhan University<sup>1</sup>       Chongqing University<sup>2</sup>       The University of Tokyo<sup>3</sup><br>National Engineering Research Center of Speech and Language Information Processing<sup>4</sup><br>Nanyang Technological University<sup>5</sup><br><b>Under Peer Review</b></span>
<span class="eql-cntrb"><small><br><sup>✢</sup>: Equal Contribution</small>, <small><sup>📧</sup>: Corresponding Author</small><br></span>
</div>
<div class="column has-text-centered">
<div class="publication-links">
<!-- Arxiv PDF link -->
<!-- <span class="link-block">
<a href="https://arxiv.org/pdf/2306.13653" target="_blank"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fas fa-file-pdf"></i>
</span>
<span>Paper</span>
</a>
</span> -->
<!-- Supplementary PDF link -->
<!-- <span class="link-block">
<a href="static/pdfs/supplementary_material.pdf" target="_blank"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fas fa-file-pdf"></i>
</span>
<span>Supplementary</span>
</a>
</span> -->
<!-- Github link -->
<span class="link-block">
<a href="https://github.com/WHU-Sigma/HyperSIGMA" target="_blank"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fab fa-github"></i>
</span>
<span>Code</span>
</a>
</span>
<span class="link-block">
<a href="https://huggingface.co/datasets/WHU-Sigma/HyperSIGMA_Datasets/tree/main" target="_blank"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fas fa-database"></i>
</span>
<span>Dataset</span>
</a>
</span>
<span class="link-block">
<a href="https://huggingface.co/WHU-Sigma/HyperSIGMA/tree/main" target="_blank"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fas fa-download"></i>
</span>
<span>Model</span>
</a>
</span>
<!-- ArXiv abstract Link -->
<span class="link-block">
<a href="https://arxiv.org/abs/2406.11519" target="_blank"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="ai ai-arxiv"></i>
</span>
<span>arXiv</span>
</a>
</span>
<span class="link-block">
<a href="https://mp.weixin.qq.com/s/tYqe95Ip-fRBM57F2F5rvw" target="_blank"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fa-brands fa-weixin"></i>
</span>
<span>Media</span>
</a>
</span>
<br>
<h4 class="title is-4">TL;NR: The first billion-level foundation model <br> specifically designed for HSI interpretation!</h4>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<!-- Paper abstract -->
<section class="section hero is-light">
<div class="container is-max-desktop">
<div class="columns is-centered has-text-centered">
<div class="column is-four-fifths">
<h2 class="title is-3">Abstract</h2>
<div class="content has-text-justified">
<p>
The first billion-level foundation model specifically designed for HSI interpretation. To tackle the spectral and spatial redundancy challenges in HSIs, we introduce a novel sparse sampling attention (SSA) mechanism, which effectively promotes the learning of diverse contextual features and serves as the basic block of HyperSIGMA. HyperSIGMA integrates spatial and spectral features using a specially designed spectral enhancement module.
</p>
</div>
</div>
</div>
</div>
</section>
<!-- End paper abstract -->
<!-- Image carousel -->
<section class="hero is-small">
<div class="hero-body">
<div class="container">
<h2 class="title is-3">Introduction</h2>
<div id="results-carousel" class="carousel results-carousel">
<div class="item">
<h3 class="title is-4">Framework of HyperSIGMA</h3>
<!-- Your image here -->
<img src="Fig\framework.png" alt="MY ALT TEXT" width="50%"/>
</div>
<div class="item">
<h3 class="title is-4">Comparison of Existing Frameworks</h3>
<!-- Your image here -->
<img src="Fig\different_patterns.png" alt="MY ALT TEXT" width="50%"/>
</div>
<div class="item">
<h3 class="title is-4">Superior performance across 16 datasets and 7 tasks. <br>Both high-level and low-level hyperspectral tasks, as well as multispectral scenes.</h3>
<!-- Your image here -->
<img src="Fig\radarimg.png" alt="MY ALT TEXT" width="50%"/>
</div>
</div>
</div>
</div>
</section>
<!-- End image carousel -->
<!-- Image carousel -->
<section class="hero is-small is-light">
<div class="hero-body">
<div class="container">
<h2 class="title is-3">Datasets</h2>
<!-- Your image here -->
<center><img src="Fig\dataset.png" alt="MY ALT TEXT" width="800px" /></center>
<h2 class="subtitle has-text-lefted">
We collected hyperspectral remote sensing samples around the globe, constructing a large-scale hyperspectral dataset -- HyperGlobal-450K. <br> HyperGlobal-450K contains over 20 million three-band images, far exceeding the scale of existing hyperspectral datasets.
</h2>
</div>
</div>
</section>
<!-- End image carousel -->
<!-- Image carousel -->
<section class="hero is-small">
<div class="hero-body">
<div class="container">
<h2 class="title is-3">Classification</h2>
<div id="results-carousel" class="carousel results-carousel">
<div class="item">
<h3 class="title is-4">Framework</h3>
<!-- Your image here -->
<img src="Fig\classification\HSIClassificationFlowchart.png" alt="MY ALT TEXT" width="30%"/>
</div>
<div class="item">
<h3 class="title is-4">Classification Map</h3>
<!-- Your image here -->
<img src="Fig\classification\HH_ClassificationMap.png" alt="MY ALT TEXT" width="30%"/>
</div>
</div>
</div>
</div>
</section>
<!-- End image carousel -->
<!-- Image carousel -->
<section class="hero is-small is-light">
<div class="hero-body">
<div class="container">
<h2 class="title is-3">Target Detection</h2>
<div id="results-carousel" class="carousel results-carousel">
<div class="item">
<h3 class="title is-4">Framework</h3>
<!-- Your image here -->
<img src="Fig\detection\htd_framework.png" alt="MY ALT TEXT" width="30%"/>
</div>
<div class="item">
<h3 class="title is-4">Detection probability maps for HTD tasks</h3>
<!-- Your image here -->
<img src="Fig\detection\htd_map.png" alt="MY ALT TEXT" width="30%"/>
</div>
<div class="item">
<h3 class="title is-4">Detection probability maps for HAD tasks</h3>
<!-- Your image here -->
<img src="Fig\detection\had_map.png" alt="MY ALT TEXT" width="30%"/>
</div>
<div class="item">
<h3 class="title is-4">ROC curves on HTD and HAD tasks</h3>
<!-- Your image here -->
<img src="Fig/detection/hd_roc.png" alt="MY ALT TEXT" width="30%"/>
</div>
</div>
</div>
</div>
</section>
<!-- End image carousel -->
<!-- Image carousel -->
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<div class="container">
<h2 class="title is-3">Change Detection</h2>
<div id="results-carousel" class="carousel results-carousel">
<div class="item">
<h3 class="title is-4">Framework</h3>
<!-- Your image here -->
<img src="Fig\changedetection\CD_FlowChart.png" alt="MY ALT TEXT" width="30%"/>
</div>
<div class="item">
<h3 class="title is-4">Change detection map</h3>
<!-- Your image here -->
<img src="Fig\changedetection\CDmap_BayArea.png" alt="MY ALT TEXT" width="30%"/>
</div>
</div>
</div>
</div>
</section>
<!-- End image carousel -->
<!-- Image carousel -->
<section class="hero is-small is-light">
<div class="hero-body">
<div class="container">
<h2 class="title is-3">Unmixing</h2>
<div id="results-carousel" class="carousel results-carousel">
<div class="item">
<h3 class="title is-4">Framework</h3>
<!-- Your image here -->
<img src="Fig\unmixing\Unmix_FlowChart.png" alt="MY ALT TEXT" width="30%"/>
</div>
<div class="item">
<h3 class="title is-4">Abundance prediction results</h3>
<!-- Your image here -->
<img src="Fig\unmixing\Unmix_ab_Urban.png" alt="MY ALT TEXT" width="30%"/>
</div>
<div class="item">
<h3 class="title is-4">Endmember prediction results</h3>
<!-- Your image here -->
<img src="Fig\unmixing\Unmix_em_Urban.png" alt="MY ALT TEXT" width="30%"/>
</div>
</div>
</div>
</div>
</section>
<!-- End image carousel -->
<!-- Image carousel -->
<section class="hero is-small">
<div class="hero-body">
<div class="container">
<h2 class="title is-3">Denoising & Super-resolution</h2>
<div id="results-carousel" class="carousel results-carousel">
<div class="item">
<h3 class="title is-4">Framework</h3>
<!-- Your image here -->
<img src="Fig\denoising\lowlevel_framework.png" alt="MY ALT TEXT" width="30%"/>
</div>
<div class="item">
<h3 class="title is-4">Denoising results using different methods in Case 5</h3>
<!-- Your image here -->
<img src="Fig\denoising\denosing_demonstration.png" alt="MY ALT TEXT" width="30%"/>
</div>
<div class="item">
<h3 class="title is-4">Super-resolution results</h3>
<!-- Your image here -->
<img src="Fig\super-resolution\superresolution_demonstration.png" alt="MY ALT TEXT" width="30%"/>
</div>
</div>
</div>
</div>
</section>
<!-- End image carousel -->
<!-- <section class="hero teaser is-small">
<div class="container is-max-desktop">
<div class="hero-body">
<h2 class="title is-3">Pretrained Models</h2>
<table style="border-collapse: collapse; width: 150%; font-size: 1.2em;">
<thead>
<tr style="border-bottom: 2px solid black;">
<th style="padding: 10px; text-align: left;">Pretrain</th>
<th style="padding: 10px; text-align: left;">Backbone</th>
<th style="padding: 10px; text-align: left;">Model Weights</th>
</tr>
</thead>
<tbody>
<tr>
<td style="padding: 10px;">Spatial_MAE</td>
<td style="padding: 10px;">ViT-B</td>
<td style="padding: 10px;">
<a href="https://pan.baidu.com/s/1kShixCeWhPGde-vLLxQLJg?pwd=vruc" target="_blank">Baidu Drive</a> &
<a href="https://huggingface.co/WHU-Sigma/HyperSIGMA/blob/main/spat-vit-base-ultra-checkpoint-1599.pth" target="_blank">Hugging Face</a>
</td>
</tr>
<tr>
<td style="padding: 10px;">Spatial_MAE</td>
<td style="padding: 10px;">ViT-L</td>
<td style="padding: 10px;">
<a href="https://pan.baidu.com/s/11iwHFh8sfg9S-inxOYtJlA?pwd=d2qs" target="_blank">Baidu Drive</a> &
<a href="https://huggingface.co/WHU-Sigma/HyperSIGMA/blob/main/spat-vit-large-ultra-checkpoint-1599.pth" target="_blank">Hugging Face</a>
</td>
</tr>
<tr>
<td style="padding: 10px;">Spatial_MAE</td>
<td style="padding: 10px;">ViT-H</td>
<td style="padding: 10px;">
<a href="https://pan.baidu.com/s/1gV9A_XmTCBRw90zjSt90ZQ?pwd=knuu" target="_blank">Baidu Drive</a> &
<a href="https://huggingface.co/WHU-Sigma/HyperSIGMA/blob/main/spat-vit-huge-ultra-checkpoint-1599.pth" target="_blank">Hugging Face</a>
</td>
</tr>
<tr>
<td style="padding: 10px;">Spectral_MAE</td>
<td style="padding: 10px;">ViT-B</td>
<td style="padding: 10px;">
<a href="https://pan.baidu.com/s/1VinBf4qnN98aa6z7TZ-ENQ?pwd=mi2y" target="_blank">Baidu Drive</a> &
<a href="https://huggingface.co/WHU-Sigma/HyperSIGMA/blob/main/spec-vit-base-ultra-checkpoint-1599.pth" target="_blank">Hugging Face</a>
</td>
</tr>
<tr>
<td style="padding: 10px;">Spectral_MAE</td>
<td style="padding: 10px;">ViT-L</td>
<td style="padding: 10px;">
<a href="https://pan.baidu.com/s/1tF2rG-T_65QA3UaG4K9Lhg?pwd=xvdd" target="_blank">Baidu Drive</a> &
<a href="https://huggingface.co/WHU-Sigma/HyperSIGMA/blob/main/spec-vit-large-ultra-checkpoint-1599.pth" target="_blank">Hugging Face</a>
</td>
</tr>
<tr>
<td style="padding: 10px;">Spectral_MAE</td>
<td style="padding: 10px;">ViT-H</td>
<td style="padding: 10px;">
<a href="https://pan.baidu.com/s/1Di9ffWuzxPZUagBCU4Px2w?pwd=bi9r" target="_blank">Baidu Drive</a> &
<a href="https://huggingface.co/WHU-Sigma/HyperSIGMA/blob/main/spec-vit-huge-ultra-checkpoint-1599.pth" target="_blank">Hugging Face</a>
</td>
</tr>
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Visualization of detected oil leakage in various Gulf of Mexico regions by our models: (a) GM07, (b) GM13, (c) GM17, and (d) GM18.
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<pre><code>@article{hypersigma,
title={HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model},
author={Wang, Di and Hu, Meiqi and Jin, Yao and Miao, Yuchun and Yang, Jiaqi and Xu, Yichu and Qin, Xiaolei and Ma, Jiaqi and Sun, Lingyu and Li, Chenxing and Fu, Chuan and Chen, Hongruixuan and Han, Chengxi and Yokoya, Naoto and Zhang, Jing and Xu, Minqiang and Liu, Lin and Zhang, Lefei and Wu, Chen and Du, Bo and Tao, Dacheng and Zhang, Liangpei},
journal={arXiv preprint arXiv:2406.11519},
year={2024}
}</code></pre>
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