Comparative analysis on landsat image enhancement using fractional and integral differential operators-Reference-Cited by-同舟云学术

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Comparative analysis on landsat image enhancement using fractional and integral differential operators

Published:2019-08-31 Issue:1 Volume:102 Page:247-261
ISSN:0010-485X
Container-title:Computing
language:en
Short-container-title:Computing

Author:

Luo Xianxian,Zeng Taisheng,Zeng Wei,Huang Jianlong

Funder

Department of Quanzhou Science and Technology

K.C. Wong Education and DAAD

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Numerical Analysis,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00607-019-00737-0.pdf

Reference22 articles.

1. Long J, Shi ZW, Tang W et al (2014) Single remote sensing image dehazing. IEEE Geosci Remote Sens Lett 11(1):59–63

2. Han JW, Zhang DW, Hu XT et al (2015) Background prior-based salient object detection via deep reconstruction residual. IEEE Trans Circuits Syst Video Technol 25(8):1309–1321

3. Blaschke T (2010) Object based image analysis for remote sensing. ISPRS J Photogramm Remote Sens 1:2–16

4. Altas I, Louis J, Belward J (1995) A variational approach to the radiometric enhancement of digital imagery. IEEE Trans Image Process 6:845–849

5. Han JW, Zhang DW, Cheng G et al (2015) Object detection in optical remote sensing images based on weakly supervised learning and high-level feature learning. IEEE Trans Geosci Remote Sens 53(6):3325–3337

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