Image and Signal Processing Methods

Remote sensing image fusion method based on multiscale morphological component analysis

[+] Author Affiliations
Jindong Xu, Mengying Ni, Yanjie Zhang, Xiangrong Tong, Qiang Zheng, Jinglei Liu

YanTai University, School of Computer and Control Engineering, 32, Qingquan Road, Laishan District, Yantai 264005, China

J. Appl. Remote Sens. 10(2), 025018 (Jun 09, 2016). doi:10.1117/1.JRS.10.025018
History: Received January 21, 2016; Accepted May 12, 2016
Text Size: A A A

Abstract.  A remote sensing image (RSI) fusion method based on multiscale morphological component analysis (m-MCA) is presented. Our contribution describes a new multiscale sparse image decomposition algorithm called m-MCA, which we apply to RSI fusion. Building on MCA, m-MCA combines curvelet transform bases and local discrete cosine transform bases to build a multiscale decomposition dictionary, and controls the entries of the dictionary to decompose the image into texture components and cartoon components with different scales. The effective scale texture component of high-resolution RSI and the cartoon component of multispectral RSI are selected to reconstruct the fusion image. Compared with state-of-the-art fusion methods, the proposed fusion method obtains higher spatial resolution and lower spectral distortion with reduced computation load in numerical experiments.

Figures in this Article
© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Jindong Xu ; Mengying Ni ; Yanjie Zhang ; Xiangrong Tong ; Qiang Zheng, et al.
"Remote sensing image fusion method based on multiscale morphological component analysis", J. Appl. Remote Sens. 10(2), 025018 (Jun 09, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.025018


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.