Building detection in very high resolution multispectral data with deep learning features

M. Vakalopoulou, K. Karantzalos, N. Komodakis, N. Paragios
2015 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)  
The automated man-made object detection and building extraction from single satellite images is, still, one of the most challenging task for various urban planning and monitoring engineering applications. To this end, in this paper we propose an automated building detection framework from very high resolution remote sensing data based on deep convolutional neural networks. The core of the developed method is based on a supervised classification procedure employing a very large training dataset.
more » ... An MRF model is then responsible for obtaining the optimal labels regarding the detection of scene buildings. The experimental results and the performed quantitative validation indicate the quite promising potentials of the developed approach.
doi:10.1109/igarss.2015.7326158 dblp:conf/igarss/VakalopoulouKKP15 fatcat:7grqlipjtbby5lvkv4sry23dwy