Enhanced Water Puddle Segmentation and Detection Using DCU-Net
JY Chang, ZX Xu - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
In recent years, the development of artificial intelligence (AI) and the expanding applications
of deep learning, particularly in image segmentation and recognition using convolutional …
of deep learning, particularly in image segmentation and recognition using convolutional …
Real-World Spatial Synchronization of Event-CMOS Cameras through Deep Learning: A Novel CNN-DGCNN Approach
This paper presents a new deep-learning architecture designed to enhance the spatial
synchronization between CMOS and event cameras by harnessing their complementary …
synchronization between CMOS and event cameras by harnessing their complementary …
Frequency-Aware Integrity Learning Network for Semantic Segmentation of Remote Sensing Images
P Yang, W Zhou, Y Liu - IEEE Journal of Selected Topics in …, 2025 - ieeexplore.ieee.org
The semantic segmentation of remote sensing images is crucial for computer perception
tasks. Integrating dual-modal information enhances semantic understanding. However …
tasks. Integrating dual-modal information enhances semantic understanding. However …
Domain Knowledge-Guided Multisource Fusion Network for Small Water Bodies Mapping Using PlanetScope Multispectral and GoogleEarth RGB Images
P Zhou, X Li, Y Zhang, Y Wang, Y Li, X Li… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Mapping of small water bodies (SWBs) has been facilitated by very high resolution remote
sensing images. The multispectral PlanetScope image, with visible to near-infrared bands at …
sensing images. The multispectral PlanetScope image, with visible to near-infrared bands at …
Object Segmentation Based on Pseudo Supervision Re-Learning Under Extremely Weak Annotations for Remote Sensing Images
Y Liu, W Zhu, L Zhang - IEEE Transactions on Geoscience and …, 2024 - ieeexplore.ieee.org
Weakly annotated object segmentation for remote sensing images (RSIs) has attracted lots
of attention due to its low labeling costs. However, annotating a huge amount of multi-class …
of attention due to its low labeling costs. However, annotating a huge amount of multi-class …
Multiscale Feature-Enhanced Water Body Detector of Truncated Gaussian Clutter in SAR Imagery
B Zhu, Y Xia, Y Zhou, X Lv, M Liu - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
This paper presents a multi-scale feature-enhanced water detector using truncated
Gaussian clutter (TGCFeWD) for SAR imagery. It aims to improve detection accuracy …
Gaussian clutter (TGCFeWD) for SAR imagery. It aims to improve detection accuracy …