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Exploring Models and Data for Remote Sensing Image Caption Generation

2017-12-21 08:45:37
Xiaoqiang Lu, Binqiang Wang, Xiangtao Zheng, Xuelong Li

Abstract

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 this https URL

Abstract (translated)

受近期人造卫星发展的启发,遥感影像引起了广泛的关注。近年来,在景物分类和目标检测方面取得了令人瞩目的进展。但是,如何用精确简洁的句子描述遥感影像内容还不太清楚。在本文中,我们调查描述准确和灵活的句子的遥感图像。首先,针对遥感图像的特点,提出一些注释说明以更好地描述遥感图像。其次,为了彻底开发遥感影像的内容,构建了遥感影像字幕的大规模航空影像数据集。最后,对拟议的数据集进行全面审查,以全面推进遥感标题的工作。对所提出的数据集的大量实验表明,通过生成语言描述,可以完整地描述遥感图像的内容。数据集可在此https网址获得

URL

https://arxiv.org/abs/1712.07835

PDF

https://arxiv.org/pdf/1712.07835.pdf


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