Semi-Supervised Learning of CNN for Land-Use Classification from Aerial Photograph
Kei HIRASHIMA, Noritaka Shigei, Satoshi SUGIMOTO, Yoichi Ishizuka, Hiromi Miyajima · Journal of Japan Society for Fuzzy Theory and Intelligent Informatics · 2021
In this study, we consider generating efficiently labeled data from map symbols of GIS data as a means to efficiently increase the data. Further, we propose to perform semi-supervised learning using this method. We demonstrate the effectiveness of the proposed method in 6 classes of land-use classification.