Abstract:
The rapid increase in satellite imagery from Gaofen satellites has created an urgent need for efficient compression methods. Existing techniques are significantly limited...Show MoreMetadata
Abstract:
The rapid increase in satellite imagery from Gaofen satellites has created an urgent need for efficient compression methods. Existing techniques are significantly limited in compression ratio when high reconstruction quality must be preserved, particularly with 16-bit multispectral images. In this article, we introduce a novel compression framework for Gaofen satellite multispectral images that leverages a lightweight bit-depth recovery network. Our approach divides the image into the most significant bits (MSB) image and the least significant bits (LSB) image. The MSB image is compressed losslessly using a conventional codec to preserve essential information. The LSB image, on the other hand, is compressed effectively by overfitting a lightweight neural network to predict the LSB image during encoding. The optimized network parameters are utilized as side information to ensure precise bit-depth recovery during decoding. Experimental results on three types of Gaofen multispectral images demonstrate that our approach significantly outperforms state-of-the-art methods, effectively addressing the demand for efficient Gaofen satellite image compression while preserving high reconstruction quality.
Published in: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ( Volume: 17)
Funding Agency:
School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China
Pengcheng Laboratory, Shenzhen, China
Wei Zhang received the M.S. degree from the School of Safety Science and Engineering, Anhui University of Science and Technology, Huainan, China, in 2000. He is currently working toward the Ph.D. degree with the School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China.
His research interests include cross-modal representation learning and data compression.
Wei Zhang received the M.S. degree from the School of Safety Science and Engineering, Anhui University of Science and Technology, Huainan, China, in 2000. He is currently working toward the Ph.D. degree with the School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China.
His research interests include cross-modal representation learning and data compression.View more
Department of Networked Intelligence, Pengcheng Laboratory, Shenzhen, China
Dingquan Li (Member, IEEE) received the dual B.S. degrees in electronic science and technology and applied mathematics from Nankai University, Tianjin, China, in 2015, and the Ph.D. degree in applied mathematics from Peking University, Beijing, China, in 2021.
He was a Postdoc and is currently an Assistant Researcher with Pengcheng Laboratory, Shenzhen, China. His research interests include multimedia processing and machin...Show More
Dingquan Li (Member, IEEE) received the dual B.S. degrees in electronic science and technology and applied mathematics from Nankai University, Tianjin, China, in 2015, and the Ph.D. degree in applied mathematics from Peking University, Beijing, China, in 2021.
He was a Postdoc and is currently an Assistant Researcher with Pengcheng Laboratory, Shenzhen, China. His research interests include multimedia processing and machin...View more
Department of Networked Intelligence, Pengcheng Laboratory, Shenzhen, China
Haihua Zhang received the B.S. degree in mathematics from Nanchang University, Jiangxi, China, in 2000, and the M.S. degree from the Department of Computer Science and Technology, Tsinghua University, Beijing, China, in 2007.
His research interests encompass deep-learning-based multimedia processing, with a specific focus on point cloud compression and remote sensing image compression.
Haihua Zhang received the B.S. degree in mathematics from Nanchang University, Jiangxi, China, in 2000, and the M.S. degree from the Department of Computer Science and Technology, Tsinghua University, Beijing, China, in 2007.
His research interests encompass deep-learning-based multimedia processing, with a specific focus on point cloud compression and remote sensing image compression.View more
Department of Networked Intelligence, Pengcheng Laboratory, Shenzhen, China
Pengpeng Yu received the M.S. degree in information and communication engineering, in 2023, from Sun Yat-sen University, Guangzhou, China, where he is currently working toward the Ph.D. degree in electronic and information engineering with the School of Electronics and Communication Engineering.
His research interests include point cloud compression and computer vision.
Pengpeng Yu received the M.S. degree in information and communication engineering, in 2023, from Sun Yat-sen University, Guangzhou, China, where he is currently working toward the Ph.D. degree in electronic and information engineering with the School of Electronics and Communication Engineering.
His research interests include point cloud compression and computer vision.View more
School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China
Pengcheng Laboratory, Shenzhen, China
Wen Gao (Fellow, IEEE) received the Ph.D. degree in electronics engineering from the University of Tokyo, Tokyo, Japan, in 1991.
He was a Professor with the Harbin Institute of Technology from 1991 to 1995. From 1996 to 2006, he was a Professor with the Institute of Computing Technology, Chinese Academy of Sciences. He is currently a Boya Chair Professor of computer science with Peking University, Beijing, China. He is als...Show More
Wen Gao (Fellow, IEEE) received the Ph.D. degree in electronics engineering from the University of Tokyo, Tokyo, Japan, in 1991.
He was a Professor with the Harbin Institute of Technology from 1991 to 1995. From 1996 to 2006, he was a Professor with the Institute of Computing Technology, Chinese Academy of Sciences. He is currently a Boya Chair Professor of computer science with Peking University, Beijing, China. He is als...View more
Contents School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China
Pengcheng Laboratory, Shenzhen, China
Wei Zhang received the M.S. degree from the School of Safety Science and Engineering, Anhui University of Science and Technology, Huainan, China, in 2000. He is currently working toward the Ph.D. degree with the School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China.
His research interests include cross-modal representation learning and data compression.
Wei Zhang received the M.S. degree from the School of Safety Science and Engineering, Anhui University of Science and Technology, Huainan, China, in 2000. He is currently working toward the Ph.D. degree with the School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China.
His research interests include cross-modal representation learning and data compression.View more
Department of Networked Intelligence, Pengcheng Laboratory, Shenzhen, China
Dingquan Li (Member, IEEE) received the dual B.S. degrees in electronic science and technology and applied mathematics from Nankai University, Tianjin, China, in 2015, and the Ph.D. degree in applied mathematics from Peking University, Beijing, China, in 2021.
He was a Postdoc and is currently an Assistant Researcher with Pengcheng Laboratory, Shenzhen, China. His research interests include multimedia processing and machine learning, especially quality assessment, data compression, and perceptual optimization.
Dingquan Li (Member, IEEE) received the dual B.S. degrees in electronic science and technology and applied mathematics from Nankai University, Tianjin, China, in 2015, and the Ph.D. degree in applied mathematics from Peking University, Beijing, China, in 2021.
He was a Postdoc and is currently an Assistant Researcher with Pengcheng Laboratory, Shenzhen, China. His research interests include multimedia processing and machine learning, especially quality assessment, data compression, and perceptual optimization.View more
Department of Networked Intelligence, Pengcheng Laboratory, Shenzhen, China
Haihua Zhang received the B.S. degree in mathematics from Nanchang University, Jiangxi, China, in 2000, and the M.S. degree from the Department of Computer Science and Technology, Tsinghua University, Beijing, China, in 2007.
His research interests encompass deep-learning-based multimedia processing, with a specific focus on point cloud compression and remote sensing image compression.
Haihua Zhang received the B.S. degree in mathematics from Nanchang University, Jiangxi, China, in 2000, and the M.S. degree from the Department of Computer Science and Technology, Tsinghua University, Beijing, China, in 2007.
His research interests encompass deep-learning-based multimedia processing, with a specific focus on point cloud compression and remote sensing image compression.View more
Department of Networked Intelligence, Pengcheng Laboratory, Shenzhen, China
Pengpeng Yu received the M.S. degree in information and communication engineering, in 2023, from Sun Yat-sen University, Guangzhou, China, where he is currently working toward the Ph.D. degree in electronic and information engineering with the School of Electronics and Communication Engineering.
His research interests include point cloud compression and computer vision.
Pengpeng Yu received the M.S. degree in information and communication engineering, in 2023, from Sun Yat-sen University, Guangzhou, China, where he is currently working toward the Ph.D. degree in electronic and information engineering with the School of Electronics and Communication Engineering.
His research interests include point cloud compression and computer vision.View more
School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China
Pengcheng Laboratory, Shenzhen, China
Wen Gao (Fellow, IEEE) received the Ph.D. degree in electronics engineering from the University of Tokyo, Tokyo, Japan, in 1991.
He was a Professor with the Harbin Institute of Technology from 1991 to 1995. From 1996 to 2006, he was a Professor with the Institute of Computing Technology, Chinese Academy of Sciences. He is currently a Boya Chair Professor of computer science with Peking University, Beijing, China. He is also the Director with Pengcheng Laboratory, Shenzhen, China. He has authored or coauthored five books and more than 1000 technical articles in refereed journals and conference proceedings in the areas of image processing, video coding and communication, computer vision, multimedia retrieval, multimodal interface, and bioinformatics.
Dr. Gao is a Fellow of ACM. He chaired a number of international conferences, such as IEEE International Conference on Multimedia and Expo 2007, ACM Multimedia 2009, and IEEE International Symposium on Circuits and Systems 2013. He served on the advisory and technical committees for professional organizations. He was the Vice President of the National Natural Science Foundation of China from 2013 to 2018, and the President of the China Computer Federation from 2016 to 2020. He is the Deputy Director of the China National Standardization Technical Committee. He is an Academician of the Chinese Academy of Engineering. He served on the editorial boards for several journals, such as ACM Computing Surveys, IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, and IEEE Transactions on Multimedia.
Wen Gao (Fellow, IEEE) received the Ph.D. degree in electronics engineering from the University of Tokyo, Tokyo, Japan, in 1991.
He was a Professor with the Harbin Institute of Technology from 1991 to 1995. From 1996 to 2006, he was a Professor with the Institute of Computing Technology, Chinese Academy of Sciences. He is currently a Boya Chair Professor of computer science with Peking University, Beijing, China. He is also the Director with Pengcheng Laboratory, Shenzhen, China. He has authored or coauthored five books and more than 1000 technical articles in refereed journals and conference proceedings in the areas of image processing, video coding and communication, computer vision, multimedia retrieval, multimodal interface, and bioinformatics.
Dr. Gao is a Fellow of ACM. He chaired a number of international conferences, such as IEEE International Conference on Multimedia and Expo 2007, ACM Multimedia 2009, and IEEE International Symposium on Circuits and Systems 2013. He served on the advisory and technical committees for professional organizations. He was the Vice President of the National Natural Science Foundation of China from 2013 to 2018, and the President of the China Computer Federation from 2016 to 2020. He is the Deputy Director of the China National Standardization Technical Committee. He is an Academician of the Chinese Academy of Engineering. He served on the editorial boards for several journals, such as ACM Computing Surveys, IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, and IEEE Transactions on Multimedia.View more