Time-Series Change Detection Using KOMPSAT-5 Data with Statistical Homogeneous Pixel Selection Algorithm
For change detection in synthetic aperture radar (SAR) imagery, amplitude change detection (ACD) and coherent change detection (CCD) are widely employed. However, time-series SAR data often contain noise and variability introduced by system and environmental factors, requiring mitigation. Additional...
Saved in:
Main Authors: | Mirza Muhammad Waqar, Heein Yang, Rahmi Sukmawati, Sung-Ho Chae, Kwan-Young Oh |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/25/2/583 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Novel Lightweight U-Shaped Network for Crack Detection at Pixel Level
by: Zhong Luo, et al.
Published: (2024-01-01) -
A Review of Digital Pixel Sensors
by: Md Rahatul Islam Udoy, et al.
Published: (2025-01-01) -
Cloud and Cloud Shadow Detection for Multi-Modal Imagery With Gap-Filling Applications
by: Keunhoo Cho, et al.
Published: (2025-01-01) -
Comparative Analysis of Pixel-Based Segmentation Models for Accurate Detection of Impacted Teeth on Panoramic Radiographs
by: Meryem Durmus, et al.
Published: (2025-01-01) -
Statistical sampling method to verify the homogeneity of full-scale cement-solidified radioactive waste
by: Hyeongjin Byeon, et al.
Published: (2025-01-01)