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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 - Enrichment of the Satellitesceneontology with Hyperspectral Images/ Crops and Feature Vectors of Radiometric Indices
摘要： Semantic classification and annotation of satellite images are of great importance and require knowledge resources. The complexity of satellite scenes makes its classification and annotation hard tasks and we are still far from totally resolving the semantic gap problem. There are several knowledge resources such as semantic networks, taxonomies and ontologies. In this paper, we propose to enrich the Satellite Scene Ontology using real hyperspectral scenes, the USGS spectral library and the WordNet lexical database. The resulting ontology would be published online for further exploitation by researchers.
关键词： WordNet,Radiometric Indices,Satellite Scene Ontology,Ontology,Hyperspectral Images (HSI),Spectral Signature,USGS Spectral Library
更新于2025-09-23 15:22:29
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The Encyclopedia of Archaeological Sciences || Multispectral and Hyperspectral Imaging
摘要： In the field of archaeology (and heritage in general), many documentation and examination methods are based on imaging techniques that characterize and depict artifacts in a nondestructive and mechanically noninvasive way. Multi- and hyperspectral imaging (together denoted spectral imaging) are two possible forms of such noninvasive imaging. Both are based on the detection of reflected or emitted optical electromagnetic radiation, the latter being defined as electromagnetic waves with wavelengths between 10 nm (0.01 μm) and 1 mm (1,000 μm). This detection can be better understood when considering that optical digital imaging usually generates a signal that is the outcome of a three-variable process: electromagnetic radiation of a radiation source falls onto the object; this radiation is partly absorbed, transmitted, and reflected by the object, with the interaction being wavelength dependent; and the imager detects and digitizes the incoming radiance in specific spectral regions. Spectral imaging extends traditional trichromatic digital camera approaches by capturing data in at least four different spectral bands, with hyperspectral imaging featuring higher spectral resolution and more contiguous spectra. Applications include archaeological prospection, color-accurate documentation, material identification, and enhancing the reading of old documents. Drawbacks involve data quantity, noise proneness, and reliance on specialized hardware and software, with future research focusing on active systems like multi-wavelength laser scanners.
关键词： multispectral imaging,archaeology,hyperspectral imaging,data cube,spectral signature,future research,drawbacks,electromagnetic radiation,noninvasive imaging,applications,spectral imaging,heritage
更新于2025-09-19 17:15:36
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Synchrotron infrared spectral regions as signatures for foodborne bacterial typing
摘要： Fourier-transform infrared (FTIR) spectroscopy has emerged as a viable alternative to biochemical and molecular biology techniques for bacterial typing with advantages such as short analysis time, low cost and laboratorial simplicity. In this study, synchrotron radiation-based FTIR (SR-FTIR) spectroscopy with higher spectral quality was successfully applied to type 16 foodborne pathogenic bacterial strains. Combined with principal component analysis (PCA) and hierarchical cluster analysis (HCA), we found that the specific spectral region 1300–1000 cm-1, which reflects the information of phosphate compounds and polysaccharides, can be used as the signature region to cluster the strains into groups similar with genetic taxonomic method. These findings demonstrated that FTIR spectra combined with HCA have a great potential in quickly typing bacteria depending on their biochemical signatures.
关键词： FTIR,PCA,Bacterial typing,Spectral signature,HCA,Synchrotron radiation
更新于2025-09-19 17:15:36
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Potential of Landsat-Oli for Seagrass and Algae Species Detection and Discrimination in Bahrain National Water Using Spectral Reflectance
摘要： Seagrass (Halodule uninervis and Halophila stipulacea) and algae (green and brown) species are widely distributed along the coastal zones of the Bahrain national water. In this study the potential of Landsat-OLI VNIR spectral bands was investigated for distinction and discrimination among these species using spectral reflectances. The measured spectra’s of each species considering different coverage rate (0, 10, 30, 75 and 100%) were transformed using continuum-removed (CR) approach, resampled and convolved in the solar-reflective spectral bands of OLI using a radiative transfer code, then converted to water vegetation indices (WVI). Regression analysis were performed between the transformed WVI and the coverage rates of each species individually (seagrass and algae) and mixed; as well between WVI and NIR reflectances. Spectral and CR analyses showed that the blue and the green bands perform better than the coastal and the red bands for seagrass and algae classes’ discrimination. This result was further corroborated by the WVI. Regression results between the coverage rates and WVI calculated with green and NIR bands showed that the TDAVI and WAVI discriminate significantly among the mixed species (R2 of 0.70), and between individual species (R2 of 0.80 for algae and for seagrass). Accomplished between WVI and NIR reflectances, regression correlations were more significant when all mixed samples (R2 of 0.95) have been considered, likewise when we consider individually the two seagrass (R2 of 0.95) and the two algae species (R2 of 0.82).
关键词： Bahrain,Algae,Seagrass,Spectral signature,Landsat-OLI,Water vegetation indices
更新于2025-09-11 14:15:04
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[Lecture Notes in Electrical Engineering] Microelectronics, Electromagnetics and Telecommunications Volume 521 (Proceedings of the Fourth ICMEET 2018) || Assessment of EO-1 Hyperion Imagery for Crop Discrimination Using Spectral Analysis
摘要： This paper outlines the research objectives to discriminate crop species using pure spectral-spatial reflectance of EO-1 Hyperion imagery. Vigorous encroachment in remote sensing unlocks the new avenues to investigate the hyper-spectral imagery for analysis and implication for crop-type classification and agricultural management. The investigated crop species were namely Sorghum, Wheat, and cotton located in West zone of Aurangabad, Maharashtra, India. The preprocessing algorithm namely quick atmospheric correction (QUAC) was applied to calibrate bad bands and construct precise data for crop discrimination. The machine learning classifiers applied to identify the pixels having a significant difference in pure spectral signatures based on Ground Control Point (GCP) and image spectral responses. The investigation was based on a binary encoding (BE) and support vector machine (SVM) learning approach in order to discriminate crop types. Crop discrimination followed land cover classes gives 73.35% accuracy using BE and SVM with polynomial third-degree order gives overall accuracy 90.44%. These results show that satellite data with 30 m spatial resolution (Hyperion) are able to identify crop species using Environment for Visualizing Images (ENVI) open source software.
关键词： Atmospheric correction,Support vector machine,A spectral signature,Hyperspectral data
更新于2025-09-10 09:29:36
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Hyperspectral based discrimination of thyroid and parathyroid during surgery
摘要： Unintended injuring of anatomical structures during endocrine neck operations can have severe consequences for patient. Especially the nerves and the parathyroid gland can be hard to identify visually. Therefore, intraoperative methods are needed to support the surgeon in this task. Hyperspectral imaging (HSI) is a new approach in the medical area which combines a camera with a spectrometer. The mean absorbance spectra of both glands showed differences in the range between 600 and 700 nm and at 760 and 960 nm. This means that thyroid and parathyroid have different oxygenation states and different contents of deoxygenated hemoglobin and water. From these observations, it is possible to define spectral signatures to characterize both glands. We showed on one patient how spectral signatures can be used in classification algorithms to automatically identify the thyroid and parathyroid from other structures.
关键词： patient data,intraoperative imaging,gastrointestinal operation,classification algorithms,spectral signature
更新于2025-09-09 09:28:46
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The spectral signature of cloud spatial structure in shortwave irradiance
摘要： We found that cloud spatial structure manifests itself as spectral signature in shortwave irradiance fields – specifically in transmittance and net horizontal photon transport in the visible and near-ultraviolet wavelength range. In this paper, we demonstrate this through radiative transfer calculations with cloud imagery from a field experiment, and show that such three-dimensional effects may occur on scales up to 60 kilometers. Neglecting net horizontal photon transport leads to a transmittance bias on the order of ±12-19% even at the relatively coarse spatial resolution of 20 kilometers, and of more than ±50% for 1 kilometer. This poses a problem for radiative energy budget estimates from space because the bias for any pixel depends on its spatial context in a non-trivial way. The key for solving this problem may lie in the spectral dimension, since we found a robust correlation between the magnitude of net horizontal photon transport (H) and its spectral dependence (slope). It is scale-invariant and holds for the entire pixel population of a domain. This was at first surprising given the large degree of spatial inhomogeneity, but seems to be valid for any cloud field. We prove that the underlying physical mechanism for this phenomenon is molecular scattering in conjunction with cloud inhomogeneity. On this basis, we developed a simple parameterization through a single parameter ??, which quantifies the characteristic spectral signature of spatial heterogeneities. In a companion paper, we will show that it is accompanied by spectral radiance perturbations, which can be detected from multi-spectral imagers and may be translated into bias reductions for cloud radiative effect estimates in the future.
关键词： cloud spatial structure,molecular scattering,shortwave irradiance,spectral signature,radiative transfer,cloud radiative effect,horizontal photon transport
更新于2025-09-04 15:30:14