OpenSARUrban

Citation Author(s):
Juanping
Zhao
Shanghai Jiao Tong University
Submitted by:
Juanping Zhao
Last updated:
Tue, 05/17/2022 - 22:17
DOI:
10.21227/3sz0-dp26
Link to Paper:
License:
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Abstract 

Here we present OpenSARUrban: a Sentinel-1 dataset dedicated to the content- related interpretation of urban SAR images, including a well- defined hierarchical annotation scheme, data collection, well- established procedures for dataset compilation and organization as well as properties, visualizations, and applications of this dataset. Particularly, our OpenSARUrban collection provides 33,358 image patches of urban SAR scenes, covering 21 major cities of China, including 10 different target area categories, 4 kinds of data formats, 2 kinds of polarization modes, and owning 5 essential properties: large-scale coverage, diversity, specificity, reliability, and sustainability.

Instructions: 

The copyrights are owned by Shanghai Jiao Tong University, the usage for research purposes is for free. Commercial application of the dataset is prohibited.
This is the dataset being used in the paper by Juanping Zhao, Zenghui Zhang, Wei Yao, Mihai Datcu, Huilin Xiong, Wenxian Yu: OpenSARUrban: A Sentinel-1 SAR Image Dataset for Urban Interpretation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2019). If you use this dataset or our results of this dataset, please cite this paper.

Comments

This dataset seems to be missing the annotations and metadata described in the paper by Juanping Zhao, Zenghui Zhang, Wei Yao, Mihai Datcu, Huilin Xiong, Wenxian Yu: OpenSARUrban: A Sentinel-1 SAR Image Dataset for Urban Interpretation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2019).

Submitted by Jacob Overfield on Thu, 12/31/2020 - 12:07

sar

Submitted by Nicholas Munson on Fri, 07/29/2022 - 12:41