Dataset Open Access

Data publication: MineNetCD: A Benchmark for Global Mining Change Detection on Remote Sensing Imagery

Yu, Weikang; Zhang, Xiaokang; Gloaguen, Richard; Zhu, Xiao Xiang; Ghamisi, Pedram


Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Shi, Yasong</dc:contributor>
  <dc:contributor>Deng, Yilong</dc:contributor>
  <dc:creator>Yu, Weikang</dc:creator>
  <dc:creator>Zhang, Xiaokang</dc:creator>
  <dc:creator>Gloaguen, Richard</dc:creator>
  <dc:creator>Zhu, Xiao Xiang</dc:creator>
  <dc:creator>Ghamisi, Pedram</dc:creator>
  <dc:date>2024-11-09</dc:date>
  <dc:description>This is the full version of the MineNetCD dataset. The paper has been published in IEEE TGRS 2024 (https://ieeexplore.ieee.org/document/10744421). The dataset contains 100 sites, and the metadata can also be found in the zip archive.

The cropped version can also be found in Huggingface Hub (https://huggingface.co/datasets/HZDR-FWGEL/MineNetCD256).</dc:description>
  <dc:identifier>https://rodare.hzdr.de/record/3251</dc:identifier>
  <dc:identifier>10.14278/rodare.3251</dc:identifier>
  <dc:identifier>oai:rodare.hzdr.de:3251</dc:identifier>
  <dc:relation>doi:10.1109/TGRS.2024.3491715</dc:relation>
  <dc:relation>url:https://www.hzdr.de/publications/Publ-39864</dc:relation>
  <dc:relation>doi:10.14278/rodare.3250</dc:relation>
  <dc:relation>url:https://rodare.hzdr.de/communities/hzdr</dc:relation>
  <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>Mining change detection</dc:subject>
  <dc:subject>remote sensing</dc:subject>
  <dc:subject>benchmark</dc:subject>
  <dc:subject>frequency domain learning</dc:subject>
  <dc:subject>unified framework</dc:subject>
  <dc:title>Data publication: MineNetCD: A Benchmark for Global Mining Change Detection on Remote Sensing Imagery</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
</oai_dc:dc>
176
84
views
downloads
All versions This version
Views 176176
Downloads 8484
Data volume 296.9 GB296.9 GB
Unique views 156156
Unique downloads 2929

Share

Cite as