From b801a8afe5bc6b594d9f6371a4ceae4c0497ff97 Mon Sep 17 00:00:00 2001
From: ShiaoO <93710302+ShiaoO@users.noreply.github.com>
Date: Mon, 27 May 2024 12:45:28 +0800
Subject: [PATCH] Update publications.html

---
 html/cn/publications.html | 39 +++++++++++++++++++++++++++++++++++++++
 1 file changed, 39 insertions(+)

diff --git a/html/cn/publications.html b/html/cn/publications.html
index 1706abd..a0f38ed 100644
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@@ -207,6 +207,45 @@ <h3>2024</h3>
             </td>
         </tr> <!-- Paper End Here -->
 
+          <tr> <!-- An Paper -->
+            <td width="22%" valign="top"><p>
+              <img src="images/src/article_zhang_igarss_2024.png" alt="Result" width="200">
+            </p></td>
+            <td width="78%" valign="top">
+            <p>
+                <b>Satellite Video Super-Resolution via Unidirectional Recurrent Network and Various Degradation Modeling</b> <a href="" target="_blank"><i class="fa fa-external-link"></i></a>
+                <br>
+                <font size="3pt" face="Georgia"><i>
+                    Xiaoyuan Wei, <a href="https://haopzhang.github.io/" target="_blank">Haopeng Zhang*</a>, Zhiguo Jiang
+                </i></font>
+                <br>
+                 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2024
+                <br>
+                <!-- <i class="fa fa-file-pdf-o"></i> <a href="" target="_blank">PDF</a> -->
+                <i class="fa fa-bookmark-o"></i> <a href="javascript:toggleblock('ZhangIGARSS2024Abs')">Abstract</a> &nbsp;
+                <i class="fa fa-quote-left"></i> <a href="javascript:toggleblock('ZhangIGARSS2024Bib')">BibTeX</a> &nbsp;
+                <!-- <i class="fa fa-github"></i> <a href="" target="_blank">Code</a> -->
+            </p>
+            <p id="ZhangIGARSS2024Abs" class="abstract" style="display: none;">
+Satellite video images contain temporal contextual information that is unavailable in single-frame images. Therefore,
+using a sequence of frames for super-resolution can significantly enhance the reconstruction effect. However, most existing satellite Video Super-Resolution (VSR) methods focus
+on improving the network’s presentation ability, overlooking the complex degradation processes present in real-world
+satellite videos which appear as a blind SR problem. In this
+paper, we propose an effective satellite VSR method based on
+a unidirectional recurrent network named URD-VSR. Simultaneously, a network independent of the SR structure is utilized to model the degradation process. Experiments on real
+satellite video datasets and integration with object detection
+demonstrate the effectiveness of the proposed method.
+            </p>
+            <pre xml:space="preserve" id="ZhangIGARSS2024Bib" class="bibtex" style="display: none;">
+
+            </pre>
+            <script language="javascript" type="text/javascript" xml:space="preserve">
+              hideblock('ZhangIGARSS2024Abs');
+              hideblock('ZhangIGARSS2024Bib');
+            </script>
+            </td>
+        </tr> <!-- Paper End Here -->
+
           </tbody></table>
 
           <hr />