Change Detection in SAR Images Based on the ROF Model Semi-Implicit Denoising Method
The explicit solution of the traditional ROF model in image denoising has the disadvantages of unstable results and requiring many iterations. To solve the problem, a new method, ROF model semi-implicit denoising, is proposed in this paper and applied to change detections of synthetic aperture radar...
Main Authors: | Xuemei Lou, Zhenhong Jia, Jie Yang, Nikola Kasabov |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-03-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/19/5/1179 |
Similar Items
-
Multiscale Geometric Analysis Fusion-Based Unsupervised Change Detection in Remote Sensing Images via FLICM Model
by: Liangliang Li, et al.
Published: (2022-02-01) -
Rof como humanista
by: Ángel Álvarez Fernández
Published: (2024-02-01) -
Perancangan Jaringan Backbone Selular 10 dan 15 GHz SCM-WDM ROF
by: As'ad Muhammad Nashrullah, et al.
Published: (2019-08-01) -
Presentación del Libro: Juan Rof Carballo: Médico, Psicólogo, Antropólogo. Rof como Médico
by: Manuel Álvarez Romero
Published: (2024-02-01) -
Erratum: Lou, X.; Jia, Z.; Yang, J.; Kasabov, N. Change Detection in SAR Images Based on the ROF Model Semi-Implicit Denoising Method. <em>Sensors</em> 2019, <em>19</em>, 1179
by: Xuemei Lou, et al.
Published: (2019-05-01)