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148 articles for “satellite images”
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A Comprehensive survey of robust image quality metrics for satellite imagery
Abstract: Satellite imagery is essential for applications like environmental monitoring, urban development, precision agriculture, defence surveillance, and disaster response. The reliability of these applications is closely tied to the quality of the captured images, which may be compromised by atmospheric effects, sensor imperfections, compression artifacts, and transmission noise. As a result, accurate image quality assessment (IQA) is essential to ensure trustworthy analysis and informed decision-making in satellite-based systems. The distinctive properties …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 1, 2026 · pp. 7–20 Read article
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Proposed Algorithm for Shadow Identification and Classification in VHR Satellite Imagery
Abstract: The Very High Resolution (VHR) satellite imagery offers great possibilities for urban environments. Unfortunately, shadows cast by buildings in high-density urban environments obscure much of the information in the image, leading to potentially corrupted classification results or blunders in interpretation. The objective of this paper is to propose an algorithm for better identification and classification of shadows in VHR images. Two prime stages were carried out i.e. shadow identification and …
Published in Journal of Remote Sensing & GIS · Vol. 6, Issue 3, 2015 · pp. 33–44 Read article
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Decision Fusion Approaches to Spatiotemporal Change Prediction in Satellite Images: A Comparative Study
Abstract: Predicting changes in satellite images remains one of the major challenges in the remote sensing field. However, this process is usually accompanied by several imperfections leading sometimes to erroneous decisions. In order to solve this problem, we propose to introduce knowledge discovery methods to improve the prediction process in satellite images and to decrease the associated imperfections. The proposed approach addresses this issue through the use of two fusion methods …
Published in Journal of Remote Sensing & GIS · Vol. 3, Issue 2, 2012 · pp. 13–23 Read article
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A Survey Paper on Image Denoising Technique for Satellite Images
Abstract: AbstractImage denoising (ID) is a material issue found in various image processing (IP) and PC vision issues. There are numerous techniques of denoising images. The most necessary property of ID model is that it ought to totally diminish clamor, however much as could reasonably be expected and edge conservation. This paper gives a knowledge perspective of some real work in the field of ID. Specialists have distributed numerous calculations in …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 2, 2017 · pp. 1–9 Read article
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The Impact of Using High-Resolution Satellite Images on Improving Geographic Maps
Abstract: By integrating high-resolution satellite images into pre-existing mapping frameworks, this study tackles the problem of guaranteeing correctness and dependability in geospatial data updates. The main goal is to assess which satellite imagery sources—SuperView, Ikonos, QuickBird, and WorldView—are appropriate for updating maps at 1:2500 and 1:5000 scales. The process entails evaluating radiometric quality, geometric dependability, spatial correctness, and picture resolution and comparing the results to the specifications of different mapping tasks. …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 1, 2026 · pp. 36–44 Read article
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A Novel Decomposable Pixel Component Analysis Algorithm for Automating Multispectral Satellite Image Denoising
Abstract: In comparison with the standard RGB or gray-scale images the usual multispectral images (MSI) is intended to convey high definition and an authentic representation for real world scenes to significantly enhance the performance measures of several other tasks involving with computer vision, segmentation of image, object extraction and object tagging operations. However, in practices a MSI image is always prone to corruption by various sources of noises while procuring the …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 2, Issue 3, 2014 · pp. 18–25 Read article
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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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Detect the Edges in Satellite Image Using CED Algorithm
Abstract: Edge detection is that the name for a collection of mathematical strategies that aim at distinguishing points in a very digital image at that the image brightness changes sharply or, a lot of formally, has discontinuities. The points at that image brightness changes sharply square measure generally organized into a collection of flexuous line segments termed edges. Constant drawback of finding discontinuities in 1D signal is understood as step and …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 2, Issue 3, 2015 · pp. 30–35 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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From High-Resolution Optics to High-Bandwidth Telemetry: The Evolution of Deep-Space Imaging Satellites
Abstract: The development of deep space imaging satellites has significantly enhanced satellite communication and space exploration capabilities. Earlier satellite systems relied on low-resolution imaging and conventional radio-frequency (RF) communication, which limited data transmission rates and image quality. With advancements in technology, modern satellites are equipped with high-resolution optical systems capable of capturing detailed images of celestial bodies. Furthermore, the introduction of high-bandwidth telemetry systems, such as Ka- band and optical (laser) …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 1, 2026 · pp. 34–40 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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Extraction of Road from Satellite Images Using Morphology and Active Contours
Abstract: AbstractRoad extraction from a satellite image plays a vital role in traffic management, urban planning and GPS navigation after updating maps. Many methods are available for road extraction, which include mathematical morphology, LEGION networks, road vectors, level set and mean shift, etc. A novel method is presented in this paper which uses mathematical morphology, filtering and active contours for extraction of selected part of road. The proposed algorithm is tested …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 1, 2019 · pp. 1–7 Read article
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Sub-Pixel Classification of Multi-date Satellite Images for Accurate Change Detection in Pichavaram Mangroves, Tamilnadu, India
Abstract: The Pichavaram mangrove wetland ecosystem contains species such as Rhizophora apiculata and Avicennia marina which are interspersed with the creeks and marshland landforms. Various studies have indicated that over the years the areal extent of this mangrove ecosystem has decreased due to both human impact and natural causes (erosion). However, field visits have indicated an increase in the areal extent due to re-forestation by the officials of the forestry department. …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 2, Issue 3, 2013 · pp. 30–37 Read article
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SATELLITE IMAGE CLASSIFICATION USING MACHINE LEARNING
Abstract: Satellite imagery is used in for various applications such as disaster management, defence, surveys, and environmental understanding. Earlier, manual processing was applied to do analysis. These methods are not accurate to detect the target and classify the object. Hence, in this work machine learning is explored. Now a days deep learning has gain prominence to automate target detection and classification. Convolutional Neural Networks (CNN) are playing vital role in deep …
Published in Journal of Remote Sensing & GIS · Vol. 12, Issue 2, 2021 · pp. 10–18 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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The Use of Satellite Imagery in Estimating Aboveground and Belowground Biomass of Aquatic Vegetation, The Food Source of Waterfowl
Abstract: 800x600 In this research we studied the possibilities to estimate the biomass of aquatic vegetation in a shallow lake using IKONOS image. IKONOS-2 image, with one infrared and three visible bands, was obtained on the 19th of August 2005. The study was carried out in the Lauwersmeer (The Netherlands) that Bewick’s swans use as an autumn staging site to forage on the belowground biomass of fennel pondweed. This research gave …
Published in Journal of Remote Sensing & GIS · Vol. 6, Issue 2, 2015 · pp. 33–40 Read article
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Satellite Image Processing Using ERDAS Imagine
Abstract: Pictures are the best method for passing on data. Words usually cannot do a picture justice. Pictures briefly pass on data about positions, sizes and interrelationships between articles. People are great at getting data from such pictures, in light of our characteristic visual and mental capacities. Around 75% of the data got by human is in pictorial structure. The paper depicts the essential innovative parts of advanced picture preparing with …
Published in Journal of Operating Systems Development & Trends · Vol. 3, Issue 1, 2016 · pp. 14–21 Read article
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Analysis of Thermal Pattern Variation for River Ganges with Satellite Imagery
Abstract: Stream temperature is a fundamental aspect of water quality and ecosystem health of the river affecting its physical, chemical and biological processes; so the monitoring and understanding of the thermal regime of rivers is extremely important. Water temperature affects water quality such as dissolved oxygen, pH, salinity and it also has influence on growth and extent of aquatic organisms. Remote sensing applications can be an effective alternative to the conventional …
Published in Journal of Water Resource Engineering and Management · Vol. 7, Issue 3, 2020 · pp. 21–30 Read article
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Potential of Semi-automatic Object-based Land Cover Classifications using Very High Resolution Satellite Images: Tetuan-city Comparison Case Study
Abstract: Nowadays, mapping agencies need to update their topographic and information systems databases in order to draw: (i) urban planning (e.g., urban sprawl, road networks, etc.), and (ii) environmental planning (e.g., ecological corridors, forest change, etc.). In this context, object-based land cover classifications using very-high resolution satellites (VHRS) images (e.g., IKONOS, QuickBird, GeoEye WorldView-2, and recently Pléaides) are interesting tools to satisfy the needs of both scientific community and decision makers …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 2, Issue 3, 2013 · pp. 19–29 Read article
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Geospatial Intervention in Mapping of Solar PV Installations using Satellite Imagery
Abstract: This paper explains the role of remote sensing and geographic information systems in mapping the solar PV installations. This part of work also explains the sources needed for mapping the solar PV installations on land. Some of the models needed for automatic extraction of the PV systems were discussed in this paper. The basic algorithms needed for effective machine learning through training samples is explained in this part of literature. …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 9, Issue 2, 2020 · pp. 1–4 Read article