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147 articles for “image scale”
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Deep Learning for Earth Observation Using Satellite Imagery: A Comprehensive Review
Abstract: Earth observation (EO) satellites provide continuous, large-scale information about the Earth's land, oceans, atmosphere, vegetation, infrastructure, and environmental conditions. The rapid growth of multispectral, hyperspectral, synthetic aperture radar (SAR), thermal, and high- resolution satellite missions has generated large volumes of heterogeneous spatial and temporal data. Conventional image-processing and machine-learning techniques often require manually designed features and may have difficulty representing the complex spatial, spectral, temporal, and multimodal characteristics of satellite …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 2, 2026 Read article
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Design Simulation and Assessment of Image De-noising through Improved Median Filters Based Sub band Decomposition
Abstract: The quality of an image sequence can degrade due to a number of causes, such as noise in the recording, transmission, or scanning. Additionally to enhancing the visual appeal, filtering offers the advantage of facilitating subsequent image processing tasks like coding, interpretation, or analysis. While attempting to restore a perfect image from a faulty copy, noise reduction is a top concern. Because of this, there isn't a single strategy that …
Published in Journal of Microelectronics and Solid State Devices · Vol. 9, Issue 2, 2022 · pp. 9–21 Read article
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Segments to Evaluate Remote Sensing Imagery
Abstract: AbstractSegmentation is scheme to rely accused formation by unconventional modeling. This is first step to increase resolution of as object specific formation. Petitioning to scale is algorithmic segmented binary pixel grouping between two subjectively heterotypic forms. Nevertheless noise free has favored grouping of pixels so as comparable to real object. Parameters for segment scale are typified shape like cube or circle, color, compactness and growth of image when subjected towards …
Published in Current Trends in Signal Processing · Vol. 9, Issue 3, 2019 · pp. 19–22 Read article
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Fundamentals of Picoscience
Abstract: The book under review consists of 37 Chapters which are further divided into IX parts, namely, Picoscale Detection, Picoscale Characterization, Picoscale Imaging, Scanning Probe Microscopy, Electron Orbitals, Atomic Scale Magnetism, Picowires, Picometer Positioning, and Picoscale Devices. As the Section headings suggest, the Book proposes to cover the methods and materials at the picometer-size scale, which is the next size range, three orders of magnitude, below nanometer.
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 16, Issue 1, 2014 · pp. 1–2 Read article
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Efficient AES for Biometric Image Signal Processing
Abstract: Abstract: Several computation schemes and architectural designs have been suggested during the last three decades for efficient hardware implementation of biometric applications. The biometric application of advanced encryption standard (AES) algorithm in high texture image signal processing. The proposed AES very large-scale Integration (VLSI) architecture has 16 % and 15 % less dynamic power consumption and LUT utilization then available best design available AES architecture in the presented literature survey. …
Published in Current Trends in Signal Processing · Vol. 9, Issue 1, 2019 · pp. 7–9 Read article
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Defect Detection in Patterned Fabrics Using Local Binary Pattern and Its VLSI Implementation
Abstract: For texture classification in computer vision Local Binary Patterns (LBP) is used as one of the efficient method. In this paper, LBP texture operator is used to label the pixels of an image of any fabric or texture using the property of thresholding the neighborhood of each and every pixel and considers the compared result as a binary number or a digit which will be used for detecting the defects …
Published in Journal of Microcontroller Engineering and Applications · Vol. 1, Issue 1, 2015 · pp. 45–51 Read article
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A Multi-Quadrant, Integrated and Secure Model of Multiple Watermarking
Abstract: Watermarking safeguards the copyright of digital images with its original owner. A watermarking model is projected by conjoining three distinct multiple watermarking approaches. The secure model is obtained by integrating multiple watermarking with the latest secure cryptographic algorithms. The proposed model will improve copyright protection, achieve large embedding capacity and provide a stronger association amongst image and watermark for integrity and authentication. The multiple watermarking model partitions the cover image …
Published in Journal of Open Source Developments · Vol. 1, Issue 2, 2014 · pp. 15–28 Read article
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Atmospheric Remote Sensing: Bridging Technology and Environmental Challenges
Abstract: The rapid advancements in remote sensing technologies have revolutionized the field of atmospheric studies, offering unprecedented capabilities for detailed observation, analysis, and understanding of the Earth's atmosphere. These technological innovations have proven to be instrumental in tackling critical environmental challenges, providing scientists and researchers with the tools needed to monitor and analyze atmospheric phenomena with greater precision and depth.This article delves into the historical development, current state, and diverse applications …
Published in International Journal of Atmosphere · Vol. 2, Issue 1, 2025 · pp. 14–19 Read article
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Recent Advances in Smart Polymer Composites for Plant Health Monitoring: A Strategic Integration of Sensing Mechanisms and Computational Intelligence
Abstract: Plant health assessment is crucial for agricultural production and food security, as plant diseases significantly affect crop yields and quality. This paper reviews the applications of polymers and composite materials in the evaluation of plant health, focusing on both natural and artificial polymers, carbon materials, and polymeric–nanoparticle composite materials. Various types of sensing principles, such as colorimetry, fluorimetry, surface plasmon resonance (SPR), surface enhanced Raman scattering (SERS), and interferometry, are …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1135–1144 Read article
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Entomo-Analytics: Insect Behavioral Intelligence for Climate-Smart Environmental Monitoring Systems
Abstract: Rapid environmental change driven by climate variability, urbanization, and ecological degradation has intensified the need for innovative monitoring systems capable of providing real-time ecological intelligence. Traditional environmental monitoring methods often rely on satellite imaging and stationary sensors, which may lack fine-scale biological sensitivity. In contrast, insects—due to their abundance, ecological diversity, and rapid responsiveness to environmental shifts—offer a powerful yet underutilized source of bio-sensing data. This paper introduces the concept …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 17–26 Read article
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Texture Based Segmentation of Remotely Sensed Images
Abstract: Texture based segmentation approach extracts homogeneous regions that have similar texture properties. The texture patterns make use of the gray scale relationship between the center pixel and its surrounding neighbors. In this paper, a novel method is proposed that encodes the spatial relationship between adjacent pairs of neighbors on either side of the center pixel including itself along the given directions in an image. The novelty of the proposed method …
Published in Journal of Remote Sensing & GIS · Vol. 11, Issue 2, 2020 · pp. 5–13 Read article
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Complementary Metal Oxide Semiconductor Readout Integrated Circuit for Imaging Applications
Abstract: In this paper presents a novel continuous-time simultaneous-readout scheme for active imaging systems based on orthogonal modulation of photo detector signals. The superimposed-continuous-time approach presented here differs from the conventional scheduled-discrete-time scheme in that the photo detector signals are summed in a common bus concurrently and then converted to voltage levels for digitization. We illustrate that our proposed architecture may be profitable. Predominantly, in solicitations, the bandwidth necessities for a …
Published in Journal of Semiconductor Devices and Circuits · Vol. 2, Issue 2, 2015 · pp. 5–8 Read article
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Enhancing Glaucoma Diagnosis with Deep Learning: A Study Using ResNet-50 and DenseNet-121
Abstract: Glaucoma is a leading cause of irreversible blindness worldwide, mainly resulting from progressive optic nerve damage, often related to elevated intraocular pressure. Early detection is essential to prevent vision loss, but traditional diagnostic methods rely on specialized equipment and trained professionals, making large-scale screening difficult. This study uses a publicly available fundus imaging dataset to explore the effectiveness of deep learning models for glaucoma detection. These datasets provide medical images, …
Published in International Journal of Brain Sciences · Vol. 2, Issue 2, 2025 · pp. 9–18 Read article
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Identification of Incidence and Outcome of Diffuse-Axonal Injuries
Abstract: Background: Diffuse axonal injury (DAI), a specific type of traumatic brain injury, may be caused by shearing forces leading to widespread tearing of axons and small vessels. This study is designed to identify the incidence, risk factors, mortality and analyze outcome in DAI. Method: 120 patients with DAI were recorded in the duration of 2 years. DAI was confirmed by signs of injury identified in radiology imaging. Patients underwent surgery, …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 8, Issue 2, 2018 · pp. 18–22 Read article
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A Review on Artificial Intelligence Techniques for Analyzing Deforestation and Illegal Logging Using Satellite Imagery
Abstract: Deforestation and illegal logging remain critical environmental threats, driving biodiversity loss, climate change, and socio-economic disruption. Conventional monitoring techniques frequently do not yield real-time, large-scale insights. Recent developments in Artificial Intelligence (AI), especially in deep learning and computer vision, have revolutionized the ability to analyze high-resolution satellite images for detecting deforestation and monitoring illegal logging. This review synthesizes recent developments in AI-driven approaches, highlighting convolutional neural networks (CNNs), anomaly detection …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 1–9 Read article
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Innovative CNN Strategies for Superior Handwritten Digit Recognition
Abstract: Handwritten digit recognition is a fundamental problem in the field of computer vision and machine learning with numerous applications, such as postal code recognition, bank check processing, and digitizing historical documents. Convolutional Neural Networks have demonstrated remarkable success in various image recognition tasks, making them a popular choice for digit recognition. In this study, we present an enhanced approach to handwritten digit recognition using CNNs. Handwritten digit recognition plays a …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 2, Issue 1, 2024 · pp. 27–34 Read article
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NDVI: Irrigation Performance Evaluation Using RS and GIS
Abstract: In this paper, the effect of irrigation has been assessed based on fluctuations in crop productivity in temporal and spatial scale from normalized difference vegetation index (NDVI) obtained from moderate resolution imaging spectroradiometer (MODIS) for the years 2001, 2006, 2011 and 2016. For this study, we selected the Jayakwadi reservoir command areas in Marathawada region of Maharashtra. Using GIS techniques, delineated and LULC map was generated indicating agricultural lands. And …
Published in Journal of Water Resource Engineering and Management · Vol. 4, Issue 2, 2017 · pp. 17–21 Read article
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Fractal Geometry and Its Application to Image Compression
Abstract: This paper presents the concept of fractal and its geometry with the explanation of how natural objects require different geometry rather than traditional Euclidean geometry and also discusses mathematics of fractals with the simulation results of generated fractal and applications of the fractal geometry in image compression. Image compression using fractal has a major drawback of large encoding time and several algorithms have been developed to reduce the encoding time …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 4–12 Read article
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Data Maneuvering Identification
Abstract: Copy-move forgery detection (CMFD) is unquestionably one of the most active research areas in the field of blind image forensics. Most existing algorithms rely on block and key-point strategies, either separately or jointly. Recent applications of deep convolutional neural network (CNN) techniques include image forensics, image hashing retrieval, and picture classification. These techniques have outperformed more conventional techniques in many areas. In this study, a brand-new convolutional neural network based …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 99–104 Read article
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Data to Diagnosis: A Systematic Review of AI/ML in Healthcare
Abstract: Artificial Intelligence (AI) and Machine Learning (ML) are fast revolutionizing the diagnosis of healthcare by augmenting accuracy, speed, and efficiency. AI/ML technologies facilitate earlier and more accurate disease identification with advanced algorithms for image processing, predictive modelling, and pattern recognition, frequently outperforming conventional diagnostic techniques. This review delves into the key contribution of AI/ML in contemporary healthcare, such as its use in clinical data analysis, imaging reports, and patient histories …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 2, 2025 Read article