Multiscale superpixel depth feature extraction for hyperspectral image classification [PDF]
Scientific ReportsRecently, superpixel segmentation has been widely employed in hyperspectral image (HSI) classification of remote sensing. However, the structures of land-covers in HSI commonly vary greatly, which makes it difficult to fully fit the boundaries of land ...
Shuzhen Zhang
exaly +5 more sources
Realizing Target Detection in SAR Images Based on Multiscale Superpixel Fusion [PDF]
Sensors, 2021 For target detection in complex scenes of synthetic aperture radar (SAR) images, the false alarms in the land areas are hard to eliminate, especially for the ones near the coastline. Focusing on the problem, an algorithm based on the fusion of multiscale
Ming Liu +4 more
doaj +5 more sources
Multiscale Superpixel Segmentation With Deep Features for Change Detection [PDF]
IEEE Access, 2019 In this paper, a novel change detection technique is proposed based on multiscale superpixel segmentation and stacked denoising autoencoders (SDAE). This approach is designed to achieve superpixel-based change detection, in which the basic analysis unit ...
, Jiao Shi, Jiao Shi
exaly +4 more sources
Multiscale Superpixel Guided Discriminative Forest for Hyperspectral Anomaly Detection
Remote Sensing, 2022 Recently, the isolation forest (IF) methods have received increasing attention for their promising performance in hyperspectral anomaly detection (HAD). However, limited by the ability of exploiting spatial-spectral information, existing IF-based methods
Min Zhang, Kexue Zhou, Sheng Lin
exaly +4 more sources
Dynamic PET Image Reconstruction Incorporating Multiscale Superpixel Clusters [PDF]
IEEE Access, 2021 Dynamic positron emission tomography (PET) image reconstruction is challenging due to the low-count statistics of individual frames. This study proposes a novel reconstruction framework aiming to enhance the quantitative accuracy of individual dynamic ...
Yuru He, Wufan Chen, Wenbing Lv
exaly +4 more sources
Multiscale Superpixel-Based Fine Classification of Crops in the UAV-Based Hyperspectral Imagery
Remote Sensing, 2022 As an effective approach to obtaining agricultural information, the remote sensing technique has been applied in the classification of crop types. The unmanned aerial vehicle (UAV)-manned hyperspectral sensors provide imagery with high spatial and high ...
Qikai Lu, Shuang Tian, Wei Lifei
exaly +4 more sources
Multiscale Weighted Adjacent Superpixel-Based Composite Kernel for Hyperspectral Image Classification [PDF]
Remote Sensing, 2021 This paper presents a composite kernel method (MWASCK) based on multiscale weighted adjacent superpixels (ASs) to classify hyperspectral image (HSI). The MWASCK adequately exploits spatial-spectral features of weighted adjacent superpixels to guarantee ...
Yunjie Chen
exaly +4 more sources
Multiple Superpixel Graphs Learning Based on Adaptive Multiscale Segmentation for Hyperspectral Image Classification [PDF]
Remote Sensing, 2022 Hyperspectral image classification (HSIC) methods usually require more training samples for better classification performance. However, a large number of labeled samples are difficult to obtain because it is cost- and time-consuming to label an HSI in a ...
Shou Feng, Chunhui Zhao, Wenxiang Zhu
exaly +4 more sources
Clinically Deployable Handwriting Biomarkers of Parkinson's Disease via Multiscale Attention and Bayesian-Genetic Optimization. [PDF]
Brain BehavTablet‐based handwriting tasks (spiral, meander, and wave) are transformed into unified images and analyzed using PD‐MGMA‐DSCNN, a lightweight multiscale gated attention network. Bayesian–genetic optimization improves performance, while SHAP attribution maps provide interpretable handwriting biomarkers for Parkinson's disease screening.
Rezaee K, Fakhrabadi AK.
europepmc +2 more sources
Advanced Hyperspectral Image Analysis: Superpixelwise Multiscale Adaptive T-HOSVD for 3D Feature Extraction [PDF]
SensorsHyperspectral images (HSIs) possess an inherent three-order structure, prompting increased interest in extracting 3D features. Tensor analysis and low-rank representations, notably truncated higher-order SVD (T-HOSVD), have gained prominence for this ...
Qiansen Dai, Chencong Ma, Qizhong Zhang
doaj +2 more sources