1 code implementation • 23 Feb 2018 • Qiang Zhang, Qiangqiang Yuan, Chao Zeng, Xinghua Li, Yancong Wei
Because of the internal malfunction of satellite sensors and poor atmospheric conditions such as thick cloud, the acquired remote sensing data often suffer from missing information, i. e., the data usability is greatly reduced.
no code implementations • 28 Dec 2017 • Qiangqiang Yuan, Yancong Wei, Xiangchao Meng, Huanfeng Shen, Liangpei Zhang
Pan-sharpening is a fundamental and significant task in the field of remote sensing imagery processing, in which high-resolution spatial details from panchromatic images are employed to enhance the spatial resolution of multi-spectral (MS) images.
no code implementations • 22 May 2017 • Yancong Wei, Qiangqiang Yuan, Huanfeng Shen, Liangpei Zhang
In the field of fusing multi-spectral and panchromatic images (Pan-sharpening), the impressive effectiveness of deep neural networks has been recently employed to overcome the drawbacks of traditional linear models and boost the fusing accuracy.