Inspired by recent development of artificial satellite, remote sensing images have attracted extensive attention. Recently, noticeable progress has been made in scene classification and target detection.However, it is still not clear how to describe the remote sensing image content with accurate and concise sentences. In this paper, we investigate to describe the remote sensing images with accurate and flexible sentences. First, some annotated instructions are presented to better describe the remote sensing images considering the special characteristics of remote sensing images. Second, in order to exhaustively exploit the contents of remote sensing images, a large-scale aerial image data set is constructed for remote sensing image caption. Finally, a comprehensive review is presented on the proposed data set to fully advance the task of remote sensing caption. Extensive experiments on the proposed data set demonstrate that the content of the remote sensing image can be completely described by generating language descriptions. The data set is available at https://github.com/201528014227051/RSICD_optimal
翻译:最近,在人造卫星最近开发的启发下,遥感图像引起了广泛的注意;最近,在现场分类和目标探测方面取得了显著进展;然而,仍然不清楚如何以准确和简洁的句子描述遥感图像内容;在本文件中,我们调查如何以准确和灵活的句子描述遥感图像;首先,提出一些附加说明的指示,以更好地描述遥感图像,同时考虑到遥感图像的特殊性;第二,为了详尽利用遥感图像的内容,为遥感图像说明建立了一个大规模空中图像数据集;最后,对拟议数据集进行了全面审查,以充分推进遥感说明的任务;对拟议数据集进行的广泛实验表明,通过生成语言描述,遥感图像的内容可以完全描述;数据集可在https://github.com/2012528014227051/RSICD_optimal上查阅。