论文标题
使用深度学习技术来增强遥感矿图的空间分辨率
Spatial Resolution Enhancement of Remote Sensing Mine Images using Deep Learning Techniques
论文作者
论文摘要
采用深度学习技术，以增加Sentinel2卫星图像的空间分辨率，描绘了希腊托勒米达（Ptolemaida）的amynteo褐煤矿。分别使用非常深入的跨分辨率（VDSR）和DSEN2网络分别通过因子2和4以及因子2和6的分辨率增强，可为杏仁核褐煤矿图像提供相当不错的结果。
Deep learning techniques are applied so as to increase the spatial resolution of Sentinel2 satellite imagery, depicting the Amynteo lignite mine in Ptolemaida, Greece. Resolution enhancement by factors 2 and 4 as well as by factors 2 and 6 using Very-Deep SuperResolution (VDSR) and DSen2 networks, respectively, provides fairly well results on Amynteo lignite mine images.
