Dataset

MUSIC for GC dataset

According to the census by R&A, there are more than 30,000 golf courses all over the world. They are good targets for research of automatic object detection due to their specific shape, world-wide distribution and common size. MUSIC for GC (Golf Course) is the dataset to support the global survey of golf courses based on satellite imagery.

Detailed Information :https://github.com/gistairc/MUSIC4GC

http://data.airc.aist.go.jp/MUSIC4GC/MUSIC4GC.zip

Creator :	Geoinformation Service Research Team, Digital Architecture Research Center, National Institute of Advanced Industrial Science and Technology Contact : m-gsrt-contact[at]aist.go.jp
License :	Custom License https://github.com/gistairc/MUSIC4GC/blob/master/LICENSE.md
First Publication Date :	Thu, 09 Aug 2018 JST
Citation :	Uehara, K., H. Sakanashi, H. Nosato, M. Murakawa, H. Miyamoto, and R. Nakamura, “Object Detection of Satellite Images Using Multi-Channel Higher-order Local Autocorrelation”, IEEE International Conference on Systems, Man and Cybernetics doi:10.1109/SMC.2017.8122799 (paper). Miyamoto, H, K. Uehara, M. Murakawa, H. Sakanashi, H. Nosato, T. Kouyama and R.Nakamura, “OBJECT DETECTION IN SATELLITE IMAGERY USING 2-STEP CONVOLUTIONAL NEURAL NETWORKS”, International Geoscience and Remote Sensing Symposium 2018 (paper).

Updated on Fri, 25 Oct 2024 13:51:27 JST