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1972 articles for “Features” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Ocean Surface Features Extraction using Morphological Techniques from Sentinel-1A Data
Abstract: SAR (Synthetic Aperture Radar) imagery of the ocean surface obtained from remote sensinginstruments is one of the prominent research areas. In this paper, detection of oceanicfeatures from SAR using morphological technique is proposed. The detected surface featuresare presented in layered form. The main advantage of such representation is features can beeasily enabled or disabled on SAR image. Algorithm is tested on Sentinel-1A dataset of oceansurface.Keywords: SAR Images, Surface Features, Layered …
Published in Journal of Remote Sensing & GIS · Vol. 11, Issue 2, 2020 · pp. 1–4 Read article
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Assessment of Temporal Features for Geographical Localisation of Satellite Images
Abstract: AbstractMost of the geographical applications are dependent upon the frequent interpretation or analysis of satellite images captured at periodical manner. Consequently the observation is mainly due to the environmental or human based comprehensive changes in spatio-temporal information, which affect the overall process. Thus the past and present data are main sources in the various predictive investigations in remote sensing. While inherent spatial and spectral information are exploited severely, it is …
Published in Research & Reviews : Journal of Ecology · Vol. 5, Issue 1, 2016 · pp. 16–26 Read article
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Statistical Analysis of Geomagnetic Activity and Solar Activity Features during Solar Cycle 23 & 24
Abstract: We present a statistical analysis of the geomagnetic storm (GMSs) with the solar activity features (Sunspot number (SN), H-α flare and coronal mass ejection (CME)) during solar cycle 23 and 24. Sunspot number (SN) shows good correlation with peak values of GMSs indices (correlations coefficient R= 0.76) while CME(R=0.59) and H-α (R=0.55) show moderate correlation. So we conclude that GMSs have good correlation with solar activity features during major geomagnetic …
Published in Research & Reviews : Journal of Physics · Vol. 6, Issue 2, 2017 · pp. 14–20 Read article
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Load Based Speed Control Feature to Improve Fuel Economy of Vehicle
Abstract: Over the period of time fossil fuels are being priced exorbitantly and hence it will result into automotive industries have to develop engines with great energy saving potential. This is possible with the help of Load Based Speed Control Feature which is used to improve fuel economy of the vehicle. This feature gives the restriction over the traditional engine speed at lower gears depending on load, so driver gets encouraged …
Published in Journal of Automobile Engineering and Applications · Vol. 5, Issue 2, 2018 · pp. 25–30 Read article
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Smart Prepaid Energy Meter System with Home Security Alert Features
Abstract: AbstractThis paper is to report about our project which is load measurement and advance tariff calculation system. in this project we measure the actual load in the form of unit and calculate the money according to unit and decrease the money in form of balance money and represent the load information in LCD. Home module connect to actual meter, read proper load that connect to meter and measure the load …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 10, Issue 1, 2020 · pp. 15–20 Read article
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Bearing Defect Diagnosis: An Approach for Manufacturing Industries Using Wavelet Transform Based Features
Abstract: To maintain reliability in the manufacturing units, industries have concentrated their attention on the condition based maintenance. Fault detection and diagnosis are the two of three condition based maintenance mainstays. Bearing is one of the most important and essential components of the rotating machines. Hence, the researchers have shown their interest in bearing fault detection and diagnosis from the last few years. They mainly use bearing vibration as fault characteristics …
Published in Journal of Microelectronics and Solid State Devices · Vol. 4, Issue 1, 2017 · pp. 15–21 Read article
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Surface-Driven Capillary Flow on Microchannel Surface Coated with Diamond like Carbon of Nano-scale Thickness towards the Applications in Statistical Features of Fluid Mechanics
Abstract: In this experimental work, polymethylmethacrylate (PMMA) is the chosen polymer as device material to fabricate the microfluidic devices. PMMA is optically transparent polymer which is a facility to record the microfluidic flow of any dyed working liquid inside the fabricated microchannels. Two individual microfluidic devices are fabricated by lithographic techniques. Dyed water is selected and prepared as working liquid. Leakage-free surface-driven capillary flow of dyed water is recorded corresponding to …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 8, Issue 3, 2021 · pp. 8–12 Read article
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Feature Extraction and Classification for Using Mammographic Images
Abstract: AbstractOne of the greatest threats prevailing among women is the breast cancer. According to the National Cancer Institute, 22% of new cases occur every year and it is considered to be the second most frequent type of cancer, worldwide. Mammogram is very important imaging technique that used diagnosis in early stages of breast cancer. Mammography is in this case the best diagnostic technique for screening, the radiology tool which gives …
Published in Journal of Advances in Shell Programming · Vol. 4, Issue 2, 2017 · pp. 10–18 Read article
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A Comparative Study of Statistical Features for Satellite Images with Natural Images
Abstract: While satellite imaging involves several bands that capture the geographical features, the natural images taken from camera in real world uses RGB model, which is composed of three channels, where each image can store discrete pixels with conventional brightness intensities between 0 and 255. So, the uniqueness of the two imaging techniques is reflected in its bits of every pixel. It is well known that the whole information of an …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 59–66 Read article
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A CBIR Technique Comparison Using Color, Texture and Shape Features
Abstract: AbstractPicture recovery is a framework for seeking, perusing, and recovery of pictures from computerized image database-based image retrieval (CBIR). It is a plan of picture inquiry which supplements the standard based image retrieval through visual elements, for example texture, shading, and shape. This framework recovers as indicated by the inquiry picture; the client offers or picks a question picture and chooses a space measure which will be used to contrast …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 2, 2017 · pp. 28–34 Read article
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A Similarity Analysis between Linear Multiracial Feature and Non-linear Multiscale Texture in Detection and Segmentation at Brain Tumor
Abstract: The panorama of the stochastic model, i.e., Random model, is called cancer. In that cancer contain benign and malign cells among that the vulnerable is rapid growth of malign cells lead to jeopardy. According to existing system the MRI fetches with multiresolution fractal (linear) model known as multi-fractional Brownian motion method but the flavor of proposed system may be interesting to keep contourlet transform and genetic algorithm for feature selection …
Published in Journal of Advances in Shell Programming · Vol. 7, Issue 1, 2020 · pp. 1–7 Read article
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Online Content based Approach of Network Extraction for Finding Weight, Size and Features
Abstract: In an online community, moderating the content created by users is a great challenge. Nevertheless, this paper is very costly to man-made workers. To end this, an automatic machine can arouse great interest to identify breaches of user content. Some ways to solve this problem, but word filtering or regular expression matches are most often seen in practice. The key drawbacks are their insecurity and their context-insensitive existence deliberately concealed …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 7, Issue 1, 2020 · pp. 23–30 Read article
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An Analysis on Feature Selection Method using Real Coded Genetic Algorithm (RCGA)
Abstract: The work presented in this thesis mainly focuses on the solving protein structure prediction (PSP) problem from machine learning models. The prediction of distance-to-native of protein structure is carried out using regression machine learning models with six physicochemical properties. The objective is to predict the distance to the native like structure in the absence of its true native state and report how far a structure is from its true native. …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 1, 2018 · pp. 23–30 Read article
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Speed Invariant Gait Identification using Frequency Domain Feature
Abstract: Changes in walking speeds is one of the most challenging covariates in gait identification. Walking speed change is accountable to significantly alter walking patterns of an individual. This covariate is also responsible for the intra-class variations; and for that, the training dataset fails to cope with. This covariate may affect some parts of human gait and keep other parts untouched. To address this issue, parts definition and selection is carried …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 2, 2021 · pp. 47–55 Read article
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Hybrid Feature Selection Approach for Stability Prediction for Intracerebral Hemorrhage Patients
Abstract: Intra Cerebral Hemorrhage (ICH) stability estimation is useful for enhancing diagnosis accuracy, selecting the best course of treatment, and clinically evaluating variations with healthy individuals. Due to their low predictive value, the clinical application of several ICH progression scoring systems is constrained. The dataset includes clinical parameters including age, Glasgow Coma Scale (GCS), and CT Angiography (CTA) spot that have been retrieved using geometric features from the segmented bleeding volume …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 2, 2022 · pp. 9–17 Read article
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SYNERGISTIC FUSION OF HYPERSPECTRAL AND HIGH RESOLUTION IMAGE FOR IMPROVING PERFORMANCE AND RELIABILITY OF AUTOMATICALLY EXTRACTED URBAN FEATURES
Abstract: Image fusion is a generic word referring to several techniques of digital image processing which are used to integrate data from different spatial and spectral resolutions in order to obtain higher-quality synthetic images. This paper emphasizes the assessment and systematic analysis of image fusion techniques by measuring the quantity of enhanced information in fused images. EO1- Hyperion and IKONOS (MSS+PAN) have been fused using Principal component analysis, Gram-Schmidt Transformation (GST) …
Published in Journal of Remote Sensing & GIS · Vol. 1, Issue 1, 2010 · pp. 1–11 Read article
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AOD Retrieval Over Different LULC Features Using AWiFS Data—A Case Study Over Dehradun
Abstract: In this study, an attempt is made to estimate the Aerosol Optical Depth (AOD) using a physically based radiative transfer model i.e. SMART (Simple Model for Atmospheric Radiative Transfer) over different LULC features. The forward procedure requires the data from Band B2: 0.52-0.59 μm of Resourcesat-2 Advanced Wide Field Sensor (AWiFS). While some of the atmospheric parameters, through transmittance, spherical albedo have been parameterized, few of them are utilized from …
Published in Journal of Remote Sensing & GIS · Vol. 8, Issue 2, 2017 · pp. 54–57 Read article
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Ocean Surface Target Feature Extraction from Fused Multi-Polarized Bands of Sentinel-1 Data
Abstract: The introduction of new generation high-resolution SAR imagery helps in the effective monitoring of land and ocean surfaces. The SAR imagery acquired are often degraded by speckle noise which makes it difficult for quality interpretation mainly in ocean domain. Speckle reduction techniques are applied to these images to reduce the noise prior to other image processing tasks. In this paper, three different speckle reduction methods are applied both in VV …
Published in Journal of Remote Sensing & GIS · Vol. 9, Issue 2, 2018 · pp. 10–16 Read article
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Review on CBIR Image Based on Colour, Texture and Shape Features of Biomedical Image Applications
Abstract: This study seeks to understand how different image enhancing methods affect the sensitivity of contrast-based textural measures and morphological traits derived from high-resolution satellite data (three-band SPOT-5). The built-up/non-built-up detection framework is the backbone of every biomedical application. Using supervised learning while working with a low-resolution reference layer reduces uncertainty and boosts the reference layer's quality in a roundabout way. The image's histogram is recalculated based on contrast in order …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 1, 2024 · pp. 8–13 Read article
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Smart Helmet Driven by Arduino Features Adaptive Sensors and Wireless Communication Technology
Abstract: Equipped with wireless communication technology, sensors, and a microprocessor, the Arduino-Futured Smart Helmet constitutes an incredibly powerful and efficient device. The microcontroller serves as the brains of the helmet, receiving and processing data from the sensors and guiding the other components as necessary. This technology allows the helmet to monitor its surroundings and respond to them immediately. The integrated sensors in the helmet measure temperature, humidity, and fluctuations in the …
Published in Journal of Materials & Metallurgical Engineering · Vol. 14, Issue 1, 2024 · pp. 7–13 Read article