The Wuhan multi-temperature scene (MtS-WH) data set is mainly used for theoretical research and verification of scene change detection methods. Scene change detection is detecting and analyzing the changes of land-use in a certain area at the scene semantic level.
This dataset consists of two large-size VHR images, which have a size of 7200x6000 and are respectively acquired by IKONOS sensors in Feb, 2002 and Jun, 2009. The images cover the Hanyang District, Wuhan City, China and contain 4 spectral bands (Blue, Green, Red and Near-Infrared). The spatial resolution of the images is 1m after fusion of the pan and multispectral images by the Gram–Schmidt algorithm.
For each large-size image, we generated 190 scene images as training set and 1920 images as testing set. These images are labeled as following classes:
| 1 | parking | 2 | water |
| 3 | sparse houses | 4 | dense houses |
| 5 | residential region | 6 | idle region |
| 7 | vegetation region | 8 | industrial region |
| 0 | undefined (Not Used) |
An overview of the overall image and scene classes of the dataset is shown below (see the README file for more information):
Copyright © 2019 SIGMA Lab (Sensing Intelligence, Geoscience and MAchine learning lab, Wuhan University, China).
The MtS-WH data set is only authorized to be used in published scientific research and academic papers. If you have any other questions about this dataset in research, please contact us: chen.wu@whu.edu.cn