杏吧传媒 数学大讲坛第九期

第八十七讲—陕西科技大学费蓉蓉老师学术报告

题目:Research for Remote Sensing Pansharpening based on Sparse Representation

时间：2022年10月15日（周六）上午10：00-11：00

地点：腾讯会议（会议ID：371273063）

报告人：费蓉蓉

摘要：A new pansharpening method combining manifold regularization and sparse representation of image details is proposed to show the spatial geometric structure connection between the target image and the original multispectral image. Moreover, we use convolutional sparse representation method to replace the traditional sparse representation as a global model, the experiments showed that the proposed method can not only achieve remarkable spectral and spatial quality on both full and reduced scale pansharpening, but also prove its robustness in the subsequent experiments in which the original multispectral image is misregistrated with its panchromatic image. These are joint works with Junmin Liu and Junying Hu.

报告人简介：

费蓉蓉，1991年2月生人，陕西科技大学电子信息与人工智能杏吧传媒 讲师，2020年于西安交通大学获得博士学位。主要从事机器学习、深度学习应用于单张图像超分辨率恢复及遥感信息融合等领域的理论和应用研究。论文发表于IEEE Geoscience and Remote Sensing Letters, International Journal of Remote Sensing等遥感方向期刊。