Fusion of Panchromatic Image with Low-Resolution Multispectral Images Using Dynamic Mode Decomposition-Reference-Cited by-同舟云学术

Fusion of Panchromatic Image with Low-Resolution Multispectral Images Using Dynamic Mode Decomposition

Published:2018 Issue: Volume: Page:335-346
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Ankarao V.,Sowmya V.,Soman K. P.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-8354-9_31

Reference17 articles.

1. Richards JA, Jia X (1999) Sources and characteristics of remote sensing image data. Remote sensing digital image analysis. Springer, Berlin, Heidelberg, pp 1–38

2. Asrar G, Dozier J (1994) EOS: science strategy for the earth observing system. American Institute of Physics, Woodbury, NY

3. Carper W (1990) The use of intensity-hue-saturation transformations for merging SPOT panchromatic and multispectral image data. Photogramm Eng Remote Sens 56(4):457–467

4. Wang Z et al (2005) A comparative analysis of image fusion methods. IEEE Trans Geosci Remote Sens 43(6):1391–1402

5. Vishnu PV, Sowmya V, Soman KP (2016) Variational mode decomposition based multispectral and panchromatic image fusion. Int J Control Theor Appl 9(16): 8051–8059

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Transformer based ensemble deep learning approach for remote sensing natural scene classification;International Journal of Remote Sensing;2024-05-03

2. Transformer-based convolutional neural network approach for remote sensing natural scene classification;Remote Sensing Applications: Society and Environment;2024-01

3. Multi-sensor data fusion using NIHS transform and decomposition algorithms;Multimedia Tools and Applications;2018-05-24