A polarization-spectrum fusion framework based on multiscale transform and generative adversarial network for improving water and different vegetation distinguishability
Synthetic Aperture Radar (SAR) and optical image fusion can gain images with abundant spatial, scattering, and spectral information. However, the current fusion methods are still faced with the challenge of spatial distortion, detail blur and inadequate use of polarization information. Thus, this pa...
Main Authors: | Qihao Chen, Mengqing Pang, Xiuguo Liu, Zhengjia Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-09-01
|
Series: | International Journal of Applied Earth Observations and Geoinformation |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843223002923 |
Similar Items
-
Classification of Mineral Foam Flotation Conditions Based on Multi-Modality Image Fusion
by: Xiaoping Jiang, et al.
Published: (2023-03-01) -
Combining Regional Energy and Intuitionistic Fuzzy Sets for Infrared and Visible Image Fusion
by: Xiaoxue Xing, et al.
Published: (2021-11-01) -
Saliency-Guided Nonsubsampled Shearlet Transform for Multisource Remote Sensing Image Fusion
by: Liangliang Li, et al.
Published: (2021-03-01) -
Multimodal medical image fusion with convolution sparse representation and mutual information correlation in NSST domain
by: Peng Guo, et al.
Published: (2022-06-01) -
Multiscale Attention Fusion for Depth Map Super-Resolution Generative Adversarial Networks
by: Dan Xu, et al.
Published: (2023-05-01)