Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Pixel-associated autoencoder for hyperspectral anomaly detection
Autoencoders (AEs) are central to hyperspectral anomaly detection, given their impressive
efficacy. However, the current methodologies often neglect the global pixel similarity of the …
efficacy. However, the current methodologies often neglect the global pixel similarity of the …
Integration of a CNN-based model and ensemble learning for detecting post-earthquake road cracks with deep features
A safe and healthy infrastructure is essential for humanity. Maintenance and repair of roads,
which are of great importance, especially in transportation, is essential. Roads can …
which are of great importance, especially in transportation, is essential. Roads can …
[HTML][HTML] Progressive pseudo-label framework for unsupervised hyperspectral change detection
For hyperspectral image change detection (HSI-CD) task, unsupervised learning methods
based on pseudo-labels obtained from pre-classification method are promising due to its …
based on pseudo-labels obtained from pre-classification method are promising due to its …
M3ICNet: A cross-modal resolution preserving building damage detection method with optical and SAR remote sensing imagery and two heterogeneous image …
H Zhang, G Ma, D Wang, Y Zhang - ISPRS Journal of Photogrammetry and …, 2025 - Elsevier
Building damage detection based on optical and SAR remote sensing imagery can mitigate
the adverse effects of weather, climate, and nighttime imaging. However, under emergency …
the adverse effects of weather, climate, and nighttime imaging. However, under emergency …
[HTML][HTML] Change detection of slow-moving landslide with multi-source SBAS-InSAR and Light-U2Net
J Cai, D Ming, F Liu, X Ling, N Liu, L Zhang, L Xu… - International Journal of …, 2025 - Elsevier
Abstract Interferometric Synthetic Aperture Radar (InSAR) techniques are commonly used
approach for identifying Slow-moving Landslide (SML). However, most SML boundary …
approach for identifying Slow-moving Landslide (SML). However, most SML boundary …
[HTML][HTML] A Novel Shipyard Production State Monitoring Method Based on Satellite Remote Sensing Images
W Qin, Y Song, H Zhu, X Yu, Y Tu - Remote Sensing, 2023 - mdpi.com
Monitoring the shipyard production state is of great significance to shipbuilding industry
development and coastal resource utilization. In this article, it is the first time that satellite …
development and coastal resource utilization. In this article, it is the first time that satellite …
Advanced Air Quality Forecasting Using an Enhanced Temporal Attention-Driven Graph Convolutional Long Short-Term Memory Model with Seasonal-Trend …
This study presents the Improved Residual Spatial Attention-Temporal Convolutional
Network (IRSA-TCN), an advanced framework for enhancing air quality forecasting across …
Network (IRSA-TCN), an advanced framework for enhancing air quality forecasting across …
TE23D: A Dataset for Earthquake Damage Assessment and Evaluation
Natural disasters, especially earthquakes, require rapid and accurate damage assessment
for effective response and recovery strategies. In this paper, TE23D (Turkey Earthquakes of …
for effective response and recovery strategies. In this paper, TE23D (Turkey Earthquakes of …
[HTML][HTML] Improved early detection of wheat stripe rust through integration pigments and pigment-related spectral indices quantified from UAV hyperspectral imagery
Wheat stripe rust is a significant disease affecting wheat growth, often referred to as the
“cancer of wheat”. Early and accurate detection of stripe rust is crucial for enabling crop …
“cancer of wheat”. Early and accurate detection of stripe rust is crucial for enabling crop …
Structural damage detection via hierarchical damage information with volumetric assessment
Image environments and noisy labels hinder deep learning-based inference models in
structural damage detection. Post-detection, there is the challenge of reliance on manual …
structural damage detection. Post-detection, there is the challenge of reliance on manual …