@inproceedings{91b1c3ab4b6740038de5549bc5365398,
title = "Automated cloud removal and filling in optical remote sensing images",
abstract = "This paper proposes a novel method for automatically removing and filling cloud regions in optical remote sensing images. Based on frequency-Tuned saliency, an improved saliency algorithm is proposed to identify cloud regions. A cloud map in a binary image is used to remove the identified cloud regions. Digital Elevation Model (DEM) that represents authentic terrain features of the remote sensing image is applied to fill the removed cloud regions. The DEM is transformed as hypsometric tint, the color of which is changed to be the same as that of the remote sensing image in Lab color space. For well blending the edge between the DEM and the remote sensing image, a mosaic blending algorithm is presented by building a diamond-shaped structure with gradual change near the edge. Therefore, a well combined remote sensing image that can represent the authentic feature of the earth surface can be obtained.",
keywords = "Clouds, Digital Elevation Model, Mosaic, Optical Remote Sensing, Saliency",
author = "Shuaihe Zhao and Shuling Dai",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 6th International Conference on Virtual Reality and Visualization, ICVRV 2016 ; Conference date: 24-09-2016 Through 26-09-2016",
year = "2017",
month = jun,
day = "1",
doi = "10.1109/ICVRV.2016.55",
language = "英语",
series = "Proceedings - 2016 International Conference on Virtual Reality and Visualization, ICVRV 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "292--297",
editor = "Dandan Ding and Dangxiao Wang and Jian Chen and Xun Luo",
booktitle = "Proceedings - 2016 International Conference on Virtual Reality and Visualization, ICVRV 2016",
address = "美国",
}