Paper Search

My Schedule

Paper Index

Help

My IGARSS 2019 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.

Create a login based on your email (takes less than one minute)
Perform 'Paper Search'
Select papers that you desire to save in your personalized schedule
Click on 'My Schedule' to see the current list of selected papers
Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)

Clicking on the Add button next to a paper title will add that paper to your custom schedule.
Clicking on the Remove button next to a paper will remove that paper from your custom schedule.

Session Detail

Session Title	THP1.PH: Super-resolution and Multiresolution Fusion Techniques III
Presentation Mode	Poster
Session Time	Thursday, 01 August, 09:40 - 10:40
Location	Room 501-502: Poster Area H
Session Chairs	Andrea Garzelli, University of Siena and Shutao Li, Hunan University

THP1.PH.1: A CNN-BASED PANSHARPENING METHOD WITH PERCEPTUAL LOSS

Sergio Vitale; Università Parthenope

THP1.PH.2: DEEP SPATIAL-SPECTRAL INFORMATION EXPLOITATION FOR RAPID HYPERSPECTRAL IMAGE SUPER-RESOLUTION

Jing Hu; Xi'an University of Technology

Yunsong Li; Xi'dian University

Minghua Zhao; Xi'an University of Technology

Yaling Zhang; Xi'an University of Technology

THP1.PH.3: DUAL 1D-2D SPATIAL-SPECTRAL CNN FOR HYPERSPECTRAL IMAGE SUPER-RESOLUTION

Jiaojiao Li; Xidian University

Ruxing Cui; Xidian University

Bo Li; Northwestern Polytechnical University

Yunsong Li; Xidian University

Shaohui Mei; Northwestern Polytechnical University

Qian Du; Mississippi State University

THP1.PH.4: UNSUPERVISED REMOTE SENSING IMAGE SUPER-RESOLUTION USING CYCLE CNN

Pengrui Wang; Beihang University

Haopeng Zhang; Beihang University

Feng Zhou; DFH Satellite Co., Ltd.

Zhiguo Jiang; Beihang University

THP1.PH.5: SIMULTANEOUS SUPER-RESOLUTION AND SEGMENTATION FOR REMOTE SENSING IMAGES

Sen Lei; Beihang University

Zhenwei Shi; Beihang University

Xi Wu; Beihang University

Bin Pan; Beihang University

Xia Xu; Beihang University

Hongxun Hao; Civil Aviation University of China

THP1.PH.6: ON TRAINING DEEP NETWORKS FOR SATELLITE IMAGE SUPER-RESOLUTION

Michal Kawulok; Silesian University of Technology

Szymon Piechaczek; Future Processing

Krzysztof Hrynczenko; Future Processing

Pawel Benecki; Silesian University of Technology

Daniel Kostrzewa; Silesian University of Technology

Jakub Nalepa; Silesian University of Technology

THP1.PH.7: PANCHROMATIC SHARPENING OF MULTISPECTRAL SATELLITE IMAGERY VIA AN EXPLICITLY DEFINED CONVEX SELF-SIMILARITY REGULARIZATION

Chia-Hsiang Wang; National Central University

Chia-Hsiang Lin; National Central University

Jose Bioucas Dias; Universidade de Lisboa

Wei-Cheng Zheng; National Central University

Kuo-Hsin Tseng; National Central University

THP1.PH.8: SPECTRAL-DRIVEN PANSHARPENING USING ADAPTIVE IMAGE SEGMENTATION TO REDUCE COLOR DISTORTION

Jiao Jiao; Space Engineering University

Xiangwu Gong; Space Engineering University

Lingda Wu; Space Engineering University

Xiangli Meng; Space Engineering University

THP1.PH.9: HYPERSPECTRAL AND MULTISPECTRAL IMAGE FUSION BASED ON SPECTRAL LOW RANK AND NON-LOCAL SPATIAL SIMILARITIES

Renwei Dian; Hunan University

Shutao Li; Hunan University

THP1.PH.10: SSCNET: SPECTRAL-SPATIAL CONSISTENCY OPTIMIZATION OF CNN FOR PANSHARPENING

Kento Doi; University of Tokyo

Akira Iwasaki; University of Tokyo