SAR image reconstruction via incremental imaging with compressive sensing
For synthetic aperture radar (SAR) imaging, the irregular loss of received data and the
nonuniformly under sampling yield the SAR azimuth ambiguity (SAA) resulting in the …
nonuniformly under sampling yield the SAR azimuth ambiguity (SAA) resulting in the …
KAZE-SAR: SAR image registration using KAZE detector and modified SURF descriptor for tackling speckle noise
Synthetic aperture radar (SAR) image registration is still a challenging task in remote
sensing. The scale-invariant feature transform (SIFT) method and its extensions are most …
sensing. The scale-invariant feature transform (SIFT) method and its extensions are most …
TISD: A three bands thermal infrared dataset for all day ship detection in spaceborne imagery
The development of infrared remote sensing technology improves the ability of night target
observation, and thermal imaging systems (TIS) play a key role in the military field. Ship …
observation, and thermal imaging systems (TIS) play a key role in the military field. Ship …
Sar image change detection via multiple-window processing with structural similarity
In this paper, a synthetic aperture radar (SAR) change detection approach is proposed
based on a structural similarity index measure (SSIM) and multiple-window processing …
based on a structural similarity index measure (SSIM) and multiple-window processing …
An effective framework of automated visual surface defect detection for metal parts
K Qiu, L Tian, P Wang - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Developing effective automated visual surface defect detection of metal parts is a challenge
due to highly reflective surfaces and miscellaneous defect patterns. In this work, an effective …
due to highly reflective surfaces and miscellaneous defect patterns. In this work, an effective …
A novel region-based image registration method for multisource remote sensing images via CNN
The comprehensive utilization of images from various satellite sensors can significantly
increase the performance of remote sensing applications and has, therefore, attracted …
increase the performance of remote sensing applications and has, therefore, attracted …
[HTML][HTML] Displacement prediction for long-span bridges via limited remote sensing images: An adaptive ensemble regression method
Spaceborne remote sensing via synthetic aperture radar (SAR) images offers promising
solutions to long-term structural health monitoring by providing local displacement time …
solutions to long-term structural health monitoring by providing local displacement time …
Entropy-Based re-sampling method on SAR class imbalance target detection
Detection tasks based on Synthetic aperture radar (SAR) images have been studied widely
but severely constrained by the quality of datasets. Meanwhile, both the unperceived …
but severely constrained by the quality of datasets. Meanwhile, both the unperceived …
E-mpspnet: Ice–water sar scene segmentation based on multi-scale semantic features and edge supervision
Distinguishing sea ice and water is crucial for safe navigation and carrying out offshore
activities in ice zones. However, due to the complexity and dynamics of the ice–water …
activities in ice zones. However, due to the complexity and dynamics of the ice–water …
Autoencoder neural network-based STAP algorithm for airborne radar with inadequate training samples
Clutter suppression is a key problem for airborne radar, and space-time adaptive processing
(STAP) is a core technology for clutter suppression and moving target detection. However, in …
(STAP) is a core technology for clutter suppression and moving target detection. However, in …