Shuffle-CDNet: A Lightweight Network for Change Detection of Bitemporal Remote-Sensing Images
Change detection is an important task in remote-sensing image analysis. With the widespread development of deep learning in change detection, most of the current methods improve detection performance by making the network deeper and wider, but ignore the inference time and computational costs of the...
Main Authors: | Fengzhi Cui, Jie Jiang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-07-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/14/15/3548 |
Similar Items
-
A Lightweight Keypoint-Based Oriented Object Detection of Remote Sensing Images
by: Yangyang Li, et al.
Published: (2021-06-01) -
MTSCD-Net: A network based on multi-task learning for semantic change detection of bitemporal remote sensing images
by: Fengzhi Cui, et al.
Published: (2023-04-01) -
An Efficient Lightweight Neural Network for Remote Sensing Image Change Detection
by: Kaiqiang Song, et al.
Published: (2021-12-01) -
ScribbleCDNet: Change detection on high-resolution remote sensing imagery with scribble interaction
by: Zhipan Wang, et al.
Published: (2024-04-01) -
3M-CDNet-V2: An Efficient Medium-Weight Neural Network for Remote Sensing Image Change Detection
by: Bo Zhao, et al.
Published: (2022-01-01)