A Fusion Method of Optical Image and SAR Image Based on Dense-UGAN and Gram–Schmidt Transformation
To solve the problems such as obvious speckle noise and serious spectral distortion when existing fusion methods are applied to the fusion of optical and SAR images, this paper proposes a fusion method for optical and SAR images based on Dense-UGAN and Gram–Schmidt transformation. Firstly, dense con...
Enregistré dans:
Auteurs principaux: | Yingying Kong, Fang Hong, Henry Leung, Xiangyang Peng |
---|---|
Format: | article |
Langue: | EN |
Publié: |
MDPI AG
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/e9a6d445cddf4ff59587f1d9f5202c93 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Perceptual Fusion of Electronic Chart and Marine Radar Image
par: Chuang Zhang, et autres
Publié: (2021) -
DisasterGAN: Generative Adversarial Networks for Remote Sensing Disaster Image Generation
par: Xue Rui, et autres
Publié: (2021) -
Remote Sensing Scene Image Classification Based on Dense Fusion of Multi-level Features
par: Cuiping Shi, et autres
Publié: (2021) -
Image and Graph Restoration Dependent on Generative Adversarial Network Algorithm
par: Yuanhao Cao
Publié: (2021) -
Constraint Loss for Rotated Object Detection in Remote Sensing Images
par: Luyang Zhang, et autres
Publié: (2021)