R&D-Net: Integration of Registration-Net and Detection-Net for Identifying Building Changes in High Spatial-Resolution Remote Sensing Images
In the detection of building changes in high spatial-resolution remote sensing images, both the distribution position and surface characteristics of the same objects are probably different under different imaging phases, which potentially causes high false positives. In order to improve the detectio...
Main Authors: | Zhong Chen, Tong Zheng, Junsong Leng, Jiahao Zhang, He Deng, Xiaofei Mi, Jian Yang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10366788/ |
Similar Items
-
SD-CapsNet: A Siamese Dense Capsule Network for SAR Image Registration with Complex Scenes
by: Bangjie Li, et al.
Published: (2023-03-01) -
Object–Part Registration–Fusion Net for Fine-Grained Image Classification
by: Chih-Wei Lin, et al.
Published: (2021-10-01) -
NrtNet: An Unsupervised Method for 3D Non-Rigid Point Cloud Registration Based on Transformer
by: Xiaobo Hu, et al.
Published: (2022-07-01) -
An Improved RandLa-Net Algorithm Incorporated with NDT for Automatic Classification and Extraction of Raw Point Cloud Data
by: Zhongli Ma, et al.
Published: (2022-09-01) -
MSCAReg‐Net: Multi‐scale complexity‐aware convolutional neural network for deformable image registration
by: Hu Yu, et al.
Published: (2024-03-01)