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7 articles for “Image mosaicing”
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An Efficient Methodology for Overcoming Limitation of Image Mosaicing with using Concept of Region Filling
Abstract: In the real life, the range of the image capturing device is smaller than the scene which is sensed by eye. If we are trying to capture image in single click it may result in blurred image or it is also possible that image will be with very low resolution and we loss some part of information. In such a condition the situation can be that obtain the spilt images …
Published in Journal of Instrumentation Technology & Innovations · Vol. 3, Issue 1, 2013 Read article
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Performance Analysis of Image Mosaicing Technique: A SIFT based Approach
Abstract: Many a times there arises situations where we would like to capture panoramic image in a single click. But the digital camera that common man uses has limited field of view. Therefore, we cannot capture image in a single click. If we try to capture that image anyhow, then that image may result in a poor resolution. In such conditions, it would never be possible to get a single image. …
Published in Journal of Instrumentation Technology & Innovations · Vol. 3, Issue 1, 2013 Read article
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Study of Morphometric and Topographic Parameters of Nashik District and Its Talukas Using GIS Tool
Abstract: In this article, an analysis of the morphometric and topographic characteristics of Nashik district and its talukas using GIS technology is done. The methodology discussed here involved various steps such as obtaining toposheets, georeferencing them, clipping relevant areas, mosaicking images together, allocating contours, preparing a Digital Elevation Model, delineating boundaries, deriving river networks and their properties. The results include important morphometric and topographic parameters for both Nashik district as a …
Published in Journal of Water Resource Engineering and Management · Vol. 10, Issue 2, 2023 · pp. 39–49 Read article
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Automated Brinjal Leaf Disease Detection Using Machine Learning: A Sri Lankan Study
Abstract: The spread of plant diseases has a significant negative impact on agricultural output quality and yield, resulting in significant economic losses. Plant disease automation in agricultural science is our country's main concern due to the economic crisis and the emphasis on organic farming practices. Furthermore, the accuracy and efficiency of recognizing sick leaves have increased due to the expanding usage of smart technology. This study uses machine learning and image …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 3, 2022 · pp. 41–56 Read article
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Geomorphometric Characteristics and Associated Land Use/Land Cover in Sajnam Basin: A Remote Sensing and GIS Based Approach
Abstract: The present study makes an attempt to assess drainage basin characteristics of Sajnam watershed situated in Lalitpur district of Bundelkhand region, Uttar Pradesh. The basin covering an area of 995.87 km2 was delineated on Arc map software using Arc hydro tool and the ASTER data. Elevation and slope map were prepared using ASTER data and the maximum and minimum elevation encountered in the area are 283 meter and 563 meters …
Published in Journal of Remote Sensing & GIS · Vol. 8, Issue 3, 2017 · pp. 22–32 Read article
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Land Degradation Mapping Using Integration of Remote Sensing and Geographic Information Systems in Maricá, Rio de Janeiro, Brazil
Abstract: The purpose of this paper is to study the growing problem of soil erosion in the municipality of Maricá, Rio de Janeiro, Brazil. The study area has an excellent agricultural condition. However, due to human and natural factors, water erosion is becoming a major problem. Therefore, new approaches are needed to determine soil degradation not only for the identification of hotspots, but also to identify areas prone to degradation to …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 3, 2024 · pp. 45–56 Read article
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Conservation Prioritization using Multi-criteria Decision Model: A Case Study in Part of Western Himalayan Ecoregion
Abstract: Vegetation and land use map was prepared using the satellite image of IRS-1D LISS III sensor. Four vegetation types were mapped, viz., temperate broadleaf forest, temperate conifer forest, pine forest and degraded forest. Different forest types were characterized for conservation prioritization based on parameters obtained through field sampling and landscape analysis. These parameters were (i) species diversity, (ii) mosaic diversity, (iii) total plant value, and (iv) contagion. The areas of …
Published in Journal of Remote Sensing & GIS · Vol. 5, Issue 1, 2014 · pp. 16–26 Read article