Exploring Models and Data for Remote Sensing Image Caption Generation
December 21, 2017 ยท Declared Dead ยท ๐ IEEE Transactions on Geoscience and Remote Sensing
Repo contents: .gitattributes, README.md, RSICD_images.zip, dataset_rsicd.json, example.PNG, readme.txt, txtclasses_rsicd.rar
Authors
Xiaoqiang Lu, Binqiang Wang, Xiangtao Zheng, Xuelong Li
arXiv ID
1712.07835
Category
cs.CV: Computer Vision
Citations
635
Venue
IEEE Transactions on Geoscience and Remote Sensing
Repository
https://github.com/201528014227051/RSICD_optimal
โญ 226
Last Checked
1 month ago
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 https://github.com/201528014227051/RSICD_optimal
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