Application of DTCWT Decomposition and Partial Differential Equation Denoising Methods in Remote Sensing Image Big Data Denoising and Reconstruction
The precision of the traditional satellite remote sensing image denoising model cannot deal well with some precise production scenes. To solve this problem, this research proposes an improved remote sensing image processing model, in which the dual tree complex wavelet transform (DTCWT) method is us...
Saved in:
| Main Author: | Wei Zeng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2022/8553330 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Partial Differential Equations-Based Iterative Denoising Algorithm for Movie Images
by: Pingli Sun, et al.
Published: (2021-01-01) -
Improvement in panchromatic-guided denoising algorithm for research on Beijing SDGSAT-1 luminous remote sensing image denoising algorithm
by: Lihan Zhang, et al.
Published: (2025-08-01) -
MTFSR: Multitemporal and Spatial Feature Reconstruction Denoising Network for Remote Sensing Change Detection
by: YeKai Cui, et al.
Published: (2025-01-01) -
Satellite Remote Sensing Grayscale Image Colorization Based on Denoising Generative Adversarial Network
by: Qing Fu, et al.
Published: (2024-09-01) -
Adaptive Semantic-Enhanced Denoising Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution
by: Jialu Sui, et al.
Published: (2025-01-01)