Lamei Zhang
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View article: Cross-Resolution SAR Target Detection Using Structural Hierarchy Adaptation and Reliable Adjacency Alignment
Cross-Resolution SAR Target Detection Using Structural Hierarchy Adaptation and Reliable Adjacency Alignment Open
In recent years, continuous improvements in SAR resolution have significantly benefited applications such as urban monitoring and target detection. However, the improvement in resolution leads to increased discrepancies in scattering chara…
View article: Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network
Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Open
In recent years, Deep Learning (DL) based methods have received extensive and sufficient attention in the field of PolSAR image classification, which show excellent performance. However, due to the ``black-box" nature of DL methods, the in…
View article: Innovative integration of automated breast volume scan and ultrasound elastography for enhanced differentiation of benign and malignant breast lesions
Innovative integration of automated breast volume scan and ultrasound elastography for enhanced differentiation of benign and malignant breast lesions Open
Breast cancer remains the most common malignancy among women and a leading cause of cancer-related mortality worldwide. Early detection through imaging is critical for improving patient prognosis. While conventional two-dimensional ultraso…
View article: Exploring Text-Guided Single Image Editing for Remote Sensing Images
Exploring Text-Guided Single Image Editing for Remote Sensing Images Open
Artificial intelligence generative content has significantly impacted image generation in the field of remote sensing. However, the equally important area of remote sensing image (RSI) editing has not received sufficient attention. Deep le…
View article: Iterative PolInSAR Target Decomposition for Scattering Characterization and Building Detection
Iterative PolInSAR Target Decomposition for Scattering Characterization and Building Detection Open
In densely rotated built-up areas, restricted by interactive and complex scatterings, most polarimetric synthetic aperture radar scattering analyses and unsupervised building detection algorithms have failed, especially under conditions of…
View article: An Anchor-Free Feature-Enhanced Network for Arbitrary Oriented Ship Detection in High Resolution SAR Images
An Anchor-Free Feature-Enhanced Network for Arbitrary Oriented Ship Detection in High Resolution SAR Images Open
Ship detection in synthetic aperture radar (SAR) images plays a crucial role in maritime transportation. However, SAR ship detection faces challenges, such as diverse ship scales, complex background environments, severe noise interference,…
View article: Spatial–Temporal Semantic and Geographic Correlation Network for SAR Image Change Detection With Limited Training Data
Spatial–Temporal Semantic and Geographic Correlation Network for SAR Image Change Detection With Limited Training Data Open
Existing supervised and semisupervised methods for synthetic aperture radar (SAR) image change detection are limited by the scarcity of labeled data and the challenges of modeling spatial–temporal correlations. To address these issues, we …
View article: A Generalized and Efficient Equivalent Circuit Model for Frequency Selective Surfaces
A Generalized and Efficient Equivalent Circuit Model for Frequency Selective Surfaces Open
Owing to their excellent intuitiveness and simplicity, equivalent circuit models (ECMs) are widely used to investigate and design frequency selective surfaces (FSSs). However, the generalization and accuracy of ECM has been a contentious i…
View article: Blap-6, a Novel Antifungal Peptide from the Chinese Medicinal Beetle Blaps rhynchopetera against Cryptococcus neoformans
Blap-6, a Novel Antifungal Peptide from the Chinese Medicinal Beetle Blaps rhynchopetera against Cryptococcus neoformans Open
Cryptococcus neoformans (C. neoformans) is a pathogenic fungus that can cause life-threatening meningitis, particularly in individuals with compromised immune systems. The current standard treatment involves the combination of amphotericin…
View article: Modified Oriented Dihedral Model for Scattering Characteristic Description With PolSAR Data
Modified Oriented Dihedral Model for Scattering Characteristic Description With PolSAR Data Open
Dihedral is a common structure in polarimetric SAR images and can be found on many man-made targets. Many researchers have proposed different dihedral models, but the accuracy of these models is limited. In this case, the feature extractio…
View article: Background Debiased SAR Automatic Target Recognition via a Novel Causal Interventional Regularizer
Background Debiased SAR Automatic Target Recognition via a Novel Causal Interventional Regularizer Open
Recent studies have utilized deep learning (DL) techniques to automatically extract features from synthetic aperture radar (SAR) images, which shows great promise for enhancing the performance of SAR automatic target recognition (ATR). How…
View article: Scattering Mechanism Analysis of Large Vertical Cylindrical Structure in Polarimetric SAR Images
Scattering Mechanism Analysis of Large Vertical Cylindrical Structure in Polarimetric SAR Images Open
Large vertical cylindrical structure is an important type of structure in polarimetric synthetic aperture radar (PolSAR) images. Objects with this structure, such as oil tanks, granaries and rotor sails, attract much attention in multiple …
View article: Background Debiased SAR Target Recognition via Causal Interventional Regularizer
Background Debiased SAR Target Recognition via Causal Interventional Regularizer Open
Recent studies have utilized deep learning (DL) techniques to automatically extract features from synthetic aperture radar (SAR) images, which shows great promise for enhancing the performance of SAR automatic target recognition (ATR). How…
View article: Blapstin, a Diapause-Specific Peptide-Like Peptide from the Chinese Medicinal Beetle <i>Blaps rhynchopetera</i> , Has Antifungal Function
Blapstin, a Diapause-Specific Peptide-Like Peptide from the Chinese Medicinal Beetle <i>Blaps rhynchopetera</i> , Has Antifungal Function Open
Candida albicans is one of the conditional pathogenic fungi causing severe nosocomial infections. Trichophyton rubrum and other skin fungi are the main pathogens of superficial cutaneous fungal diseases, especially in children and the elde…
View article: An Interferogram Re-Flattening Method for InSAR Based on Local Residual Fringe Removal and Adaptively Adjusted Windows
An Interferogram Re-Flattening Method for InSAR Based on Local Residual Fringe Removal and Adaptively Adjusted Windows Open
InSAR technology uses the geometry between antennas and targets to obtain DEM and deformation; therefore, accurate orbit information, which can provide reliable geometry, is the prerequisite for InSAR processing. However, the orbit informa…
View article: A Polarimetric Scattering Characteristics-Guided Adversarial Learning Approach for Unsupervised PolSAR Image Classification
A Polarimetric Scattering Characteristics-Guided Adversarial Learning Approach for Unsupervised PolSAR Image Classification Open
Highly accurate supervised deep learning-based classifiers for polarimetric synthetic aperture radar (PolSAR) images require large amounts of data with manual annotations. Unfortunately, the complex echo imaging mechanism results in a high…
View article: Intelligent electromagnetic mapping via physics driven and neural networks on frequency selective surfaces
Intelligent electromagnetic mapping via physics driven and neural networks on frequency selective surfaces Open
The high mapping efficiency between various structures and electromagnetic (EM) properties of frequency selective surfaces (FSSs) is the state-of-the-art in the EM community. The most straightforward approaches for beam analysis depend on …
View article: Polarimetric SAR Decomposition Method Based on Modified Rotational Dihedral Model
Polarimetric SAR Decomposition Method Based on Modified Rotational Dihedral Model Open
Polarimetric decomposition is an effective way to analyze the scattering mechanism of targets in polarimetric synthetic aperture radar (PolSAR) images. However, the analysis of urban areas is frequently a challenge. Most decomposition meth…
View article: Scattering Mechanism Analysis of Man-Made Targets via Polarimetric SAR Observation Simulation
Scattering Mechanism Analysis of Man-Made Targets via Polarimetric SAR Observation Simulation Open
Scattering mechanism analysis of a man-made target is critical for polarimetric synthetic aperture radar (PolSAR) image feature extraction and image interpretation. The most straightforward method for scattering mechanism investigation of …
View article: Deployment of SMP Miura-ori sheet and its application: Aerodynamic drag and RCS reduction
Deployment of SMP Miura-ori sheet and its application: Aerodynamic drag and RCS reduction Open
Origami, such as Miura-ori, is the art of folding two-dimensional materials into complex, elaborate, and multifunctional three-dimensional objects. In this paper, SMP MO sheet are prepared, and the accuracy of deployable process is verifie…
View article: Joint Polarimetric-Adjacent Features Based on LCSR for PolSAR Image Classification
Joint Polarimetric-Adjacent Features Based on LCSR for PolSAR Image Classification Open
Image classification is a critical and important application in PolSAR image interpretation. Finding a feature extraction method, which can effectively describe the characteristics of the target, is an important basis for image classificat…
View article: Unsupervised Deep Representation Learning and Few-Shot Classification of PolSAR Images
Unsupervised Deep Representation Learning and Few-Shot Classification of PolSAR Images Open
Deep learning and convolutional neural networks (CNNs) have made progress in polarimetric synthetic aperture radar (PolSAR) image classification over the past few years. However, a crucial issue has not been addressed, i.e., the requiremen…
View article: PCLNet: A Practical Way for Unsupervised Deep PolSAR Representations and Few-Shot Classification.
PCLNet: A Practical Way for Unsupervised Deep PolSAR Representations and Few-Shot Classification. Open
Deep learning and convolutional neural networks (CNNs) have made progress in polarimetric synthetic aperture radar (PolSAR) image classification over the past few years. However, a crucial issue has not been addressed, i.e., the requiremen…
View article: PolSAR Image Classification with Lightweight 3D Convolutional Networks
PolSAR Image Classification with Lightweight 3D Convolutional Networks Open
Convolutional neural networks (CNNs) have become the state-of-the-art in optical image processing. Recently, CNNs have been used in polarimetric synthetic aperture radar (PolSAR) image classification and obtained promising results. Unlike …
View article: Object-Based Classification of PolSAR Images Based on Spatial and Semantic Features
Object-Based Classification of PolSAR Images Based on Spatial and Semantic Features Open
High-resolution polarimatric synthetic aperture radar (PolSAR) images can provide more detail information on land-cover types and increase the image complexity at the same time. Traditionally, pixel-based image classification that takes im…