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- 摘要
- 关键词
- 实验方案
- 产品
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[EAI/Springer Innovations in Communication and Computing] Computational Intelligence and Sustainable Systems (Intelligence and Sustainable Computing) || Investigation of Non-natural Information from Remote Sensing Images: A Case Study Approach
摘要： Rapid changes in non-natural information, such as infrastructure development, require frequent and rapid updates to maps from remote sensing (RS) images for numerous cartographic operations, including road map improvements for intelligent transportation systems, traffic monitoring, rural area development planning, and navigation. Revolutions in satellite imaging technology have improved the interpretation of non-natural information (e.g., roads, building, bridges, dams) for geographic information system (GIS) updates within short period of time compared with ground surveying.
关键词： Road Extraction,GIS,Image Processing,Remote Sensing,Machine Learning
更新于2025-09-04 15:30:14
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[Studies in Computational Intelligence] Recent Advances in Computer Vision Volume 804 (Theories and Applications) || Face Recognition Using Exact Gaussian-Hermit Moments
摘要： Face recognition systems have gained more attention during the last decades. Accurate features are the corner stones in these systems where the performance of recognition and classification processes mainly depends on these features. In this chapter, a new method is proposed for a highly accurate face recognition system. Exact Gaussian-Hermit moments (EGHMs) are used to extract the features of face images where the higher order EGHMs are able to capture the higher-order nonlinear features of these images. The rotation, scaling and translation invariants of EGHMs are used to overcome the geometric distortions. The non-negative matrix factorization (NMF) is a popular image representation method that is able to avoid the drawbacks of principle component analysis (PCA) and independent component analysis (ICA) methods and is able to maintain the image variations. The NMF is used to classify the extracted features. The proposed method is assessed using three face datasets, the ORL, Ncku and UMIST which have different characteristics. The experimental results illustrate the high accuracy of the proposed method against other methods.
关键词： Feature extraction,Face recognition,Exact Gaussian-Hermit moments,Non-negative matrix factorization,Classification
更新于2025-09-04 15:30:14
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Luminescent silica based nanostructures from <i>in vivo</i> Iridium-doped diatoms microalgae.
摘要： A novel biotechnological approach to the preparation of Ir-doped luminescent silica based nanostructures is proposed availing of diatoms microalgae which generate highly nanostructured biosilica shells (frustules) by in vivo biomineralization of orthosilicic acid. After the in vivo incorporation of a phosphorescent organometallic complex (Ir-1) in Thalassiosira weissflogii diatom frustules (DFs), bulk functionalized phosphorescent silica based nanostructures are obtained by isolation and proper ultrafine processing of Ir-1 doped DFs. High-resolution characterization reveals the presence of phosphorescent hybrid organic/inorganic clusters (HCs) composed of biogenic silica NPs intimately trapped within the diatom organic residual matter. The bio-factory strategy investigated herein can be a sustainable, cost-effective and scalable route to transition metal doped silica nanomaterials, and can pave the way to a great variety of heavy-metal and rare-earth metal doped silica nanostructures, whose applications range from photonics to imaging, sensing and biomedicine.
关键词： micro-bioreactors,diatoms microalgae,iridium,extraction method,nanoparticles,nanostructures,Biosilica,phosphorescence
更新于2025-09-04 15:30:14
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Automatic Coregistration of SAR and Optical Images Exploiting Complementary Geometry and Mutual Information
摘要： Image coregistration aims at stacking two or multiple images in a way such that, for each image, the same pixel corresponds to the same point of the target scene (possibly with sub-pixel accuracy). We can distinguish two families of image coregistration problems, basically depending on if the images to be coregistered are taken by sensors of the same or different type (e.g., sensing different wavelenghts), and with similar or different illumination and acquisition geometries (e.g. different sun illumination conditions and/or different acquisition incidence angles).Whilst the first type of image coregistration is well established, multimodal coregistration is not yet well founded and due to difficulty of finding correspondences between the images (tie points) in a robust way, and the available approaches often recur to manual assistance. The multimodal image coregistration technique proposed in this work overcomes the problems due to differences in radiometries and in geometries by exploiting two main concepts: complementary geometry information between the images to be coregistered, and mutual information (or entropy) as similarity metric. The method focuses on coregistration of very high resolution synthetic aperture radar (SAR) and optical images, but the approach is of general validity. The tests performed on real very high resolution optical and SAR data confirm the validity of the method.
关键词： SAR feature extraction,image coregistration,mutual information,bundle adjustment,multimodal image coregistration
更新于2025-09-04 15:30:14
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Gold nanoparticles – an optical biosensor for RNA quantification for cancer and neurologic disorders diagnosis
摘要： The objective of this study is to develop a facile tool for the absolute detection and quantification of nucleic acid transcripts, using a gold nanoparticle-based optical biosensor. Topoisomerase 1 (TOP1) and tyrosyl DNA phosphodiesterase 2 (TDP2) were among the nucleic acid transcripts of choice due to their role as genomic instability biomarkers and their implication in various cancers and neurologic disorders. This opens the door to develop a simple tool that can be used for diagnosing and monitoring treatment response for such diseases, overcoming the requirements for high cost, time, and complexity of the existing technologies for the absolute quantification of transcripts of interest.
关键词： RNA extraction,genomic instability,tumor markers,gold aggregating gold,TDP2,TOP1,neurodegenerative diseases,magnetic nanoparticles
更新于2025-09-04 15:30:14
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Spatial Functional Data Analysis for the Spatial-Spectral Classification of Hyperspectral Imagery
摘要： Although support vector classi?ers for hyperspectral imagery traditionally exploit spectral information alone, there has been increasing interest in spatial–spectral classi?ers that incorporate spatial context due to the potential for signi?cant performance improvement over spectral-only approaches. Accordingly, a new approach for spatial–spectral classi?cation is introduced which incorporates spatial information into a prior hyperspectral classi?er driven by functional data analysis (FDA) applied to continuous spectral functions. FDA permits functional properties—such as the smoothness inherent to spectral signatures—to inform hyperspectral classi?cation. The proposed spatial FDA (SFDA) incorporates an additional spatial coherency factor that attempts to ensure that each pixel is represented with a spectral curve that is similar to those of its nearest spatial neighbors. Experimental results demonstrate that the proposed SFDA coupled with a support vector classi?er yields results superior to other state-of-the-art spatial–spectral techniques for hyperspectral classi?cation.
关键词： Feature extraction,functional data analysis (FDA),hyperspectral classi?cation
更新于2025-09-04 15:30:14
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[IEEE 2018 24th International Conference on Pattern Recognition (ICPR) - Beijing, China (2018.8.20-2018.8.24)] 2018 24th International Conference on Pattern Recognition (ICPR) - Robust Adaptive Low-Rank and Sparse Embedding for Feature Representation
摘要： Most existing low-rank sparse embedding models extract features of data in the original input space and usually separate the manifold preservation step from the coding process, which may result in the decreased performance. In this paper, a novel Robust Adaptive Low-rank and Sparse Embedding (RALSE) framework is technically proposed for salient feature extraction of the high-dimensional data by seamlessly integrating the joint low-rank and sparse recovery with the robust adaptive salient feature extraction. Specifically, our RALSE integrates the joint low-rank and sparse representation, adaptive neighborhood preserving graph weight learning and the robustness-promoting representation into a unified framework. For accurate similarity measure, RALSE computes the adaptive weights by minimizing the reconstruction error over the noise-removed data and salient features simultaneously, where L1-norm is regularized to ensure the sparse properties of learnt weights. RALSE can also ensure the learnt projection to preserve local neighborhood information of embedded features clearly and adaptively. The projection is not only modeled under joint low-rank and sparse regularization, but also computed from a clean subspace, making it powerful for the salient feature extraction. Thus, the learnt low-rank sparse features would be more accurate for subsequent classification. Extensive results demonstrate the effectiveness of our RALSE formulation for data representation and classification.
关键词： Robust representation,feature extraction,adaptive low-rank and sparse embedding,classification
更新于2025-09-04 15:30:14
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Modern Purification Methods for Liquid Scintillators Intended for Recording Rare Events
摘要： Chromato-mass-spectrometry and UV/VIS spectroscopy are used to study the composition and properties of linear alkyl benzene (LAB) produced in Russia as the basic solvent for production of low-background liquid scintillators. The efficiency of LAB purification by reducing intrinsic radioactivity (U, Th) via water extraction (with addition of a strong chelate, dimethylaminomethylendiphosphonic acid) and sorption on Al2O3 in silica gel is studied. The purification method for removing potassium from scintillation fluors (PPO, BPO, p-terphenyl) is developed. It is shown that U and Th can be efficiently extracted from NdCl3 water solutions with 0.1 M TOPO solution in pseudocumene.
关键词： NdCl3 water solutions,liquid scintillators,purification methods,sorption,potassium removal,radioactivity,linear alkyl benzene,water extraction
更新于2025-09-04 15:30:14
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Hard exudate based severity assessment of diabetic macular edema from retinal fundus images
摘要： Diabetic macular edema (DME) is a consequence of diabetic retinopathy characterised by the abnormal accumulation of fluid and protein deposit in the macula region of the retina. Prior disclosure of even a trivial trace of DME is essential as it could consequently lead to blurred vision. DME can be diagnosed by the presence of exudates (glossy lesions) in the retinal fundus images. In this work, OD and macula are detected using morphological operation and hard exudates are segmented. Exudates are classified using early treatment diabetic retinopathy standard as normal, moderate or severe cases. The proposed work also incorporates the extraction of various features from the retinal fundus image. Various textural and exudate features are extracted and fed to a classifier to detect DME. Experiments are performed on a publically available database. Performance is evaluated with metrics like accuracy, sensitivity, specificity and accuracy. The results obtained are promising.
关键词： DME,random forest,hard exudates,diabetic macular edema,classification,macula,feature extraction,optic disc
更新于2025-09-04 15:30:14