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Relevant bibliographies by topics / Multispectral aerial video imagery / Dissertations / Theses

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Dissertations / Theses on the topic 'Multispectral aerial video imagery'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 February 2022

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1

Hodgson, Lucien Guy, and n/a. "Cotton crop condition assessment using arial video imagery." University of Canberra. Applied Science, 1991. http://erl.canberra.edu.au./public/adt-AUC20060725.144909.

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Cotton crop condition was assessed from an analysis of multispectral aerial video imagery. Visible-near infrared imagery of two cotton fields was collected towards the end of the 1990 crop. The digital analysis was based on image classification, and the accuracies were assessed using the Kappa coefficient of agreement. The earliest of three images proved to be best for distinguishing plant variety. Vegetation index images were better for estimating potential yield than the original multispectral image; so too were multi-channel images that were transformed using vegetation indices or principal

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2

Gurram, Prudhvi K. "Automated 3D object modeling from aerial video imagery /." Online version of thesis, 2009. http://hdl.handle.net/1850/11207.

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3

Salmon, Summer Anne. "A New Technique for Measuring Runup Variation Using Sub-Aerial Video Imagery." The University of Waikato, 2008. http://hdl.handle.net/10289/2511.

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Video monitoring of beaches is becoming the preferred method for observing changes to nearshore morphology. Consequently this work investigates a new technique for predicting the probability of inundation that is based on measuring runup variation using video. Runup is defined as the water-level elevation maxima on the foreshore relative to the still water level and the waterline is defined as the position where the MWL intersects the beach face. Tairua, and Pauanui Beaches, on the north east coast of the North Island of New Zealand, were used as the field site in this study and represent two

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4

Wolkesson, Henrik. "Realtime Mosaicing of Video Stream from µUAV." Thesis, Linköpings universitet, Datorseende, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-76357.

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This is a master thesis of the Master of Science degree program in Applied Physics and Electrical Engineering (Y) at Linköping University. The goal of the projectis to develop an application for creating a map in real time from a video camera on a miniature unmanned aerial vehicle. This thesis project and report is a first exploratory study for this application. It implements a prototype method and evaluates it on sample sequences from an on-board video camera. The method first looks for good points to follow in the image and then tracks them in a sequence.The image is then pasted, or merged,

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5

Potter, Thomas Noel 1959. "The use of multispectral aerial video to determine land cover for hydrological simulations in small urban watersheds." Thesis, The University of Arizona, 1993. http://hdl.handle.net/10150/291381.

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Airborne multispectral video was evaluated as a tool for obtaining urban land cover information for hydrological simulations. Land cover data was obtained for a small urban watershed in Tucson, Arizona using four methods: multispectral aerial video (2 meter and 4 meter pixel resolution), National High Altitude Photography (NHAP), multispectral satellite imagery from Systeme Pour l'Observation de la Terre (SPOT), and by conventional survey. A semi-automated land cover classification produced four classes: vegetation, buildings, pavement, and bare soil. The land cover data from each classificati

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Maier, Kathrin. "Direct multispectral photogrammetry for UAV-based snow depth measurements." Thesis, KTH, Geoinformatik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254566.

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Due to the changing climate and inherent atypically occurring meteorological events in the Arctic regions, more accurate snow quality predictions are needed in order to support the Sámi reindeer herding communities in northern Sweden that struggle to adapt to the rapidly changing Arctic climate. Spatial snow depth distribution is a crucial parameter not only to assess snow quality but also for multiple environmental research and social land use purposes. This contrasts with the current availability of affordable and efficient snow monitoring methods to estimate such an extremely variable para

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7

Apostolopoulos, Andreas K. Tisdale Riley O. "Dissemination and storage of tactical unmanned aerial vehicle digital video imagery at the Army Brigade Level /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1999. http://handle.dtic.mil/100.2/ADA374041.

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Thesis (M.S. in Information Technology Management) Naval Postgraduate School, September 1999.<br>"September 1999". Thesis advisor(s): Orin E. Marvel, William Haga, Brad Naegle. Includes bibliographical references (p. 159-162). Also avaliable online.

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Apostolopoulos, Andreas K., and Riley O. Tisdale. "Dissemination and storage of tactical unmanned aerial vehicle digital video imagery at the Army Brigade Level." Thesis, Monterey, California. Naval Postgraduate School, 1999. http://hdl.handle.net/10945/26490.

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Approved for public release; distribution is unlimited<br>The Department of Defense Joint Technical Architecture has mandated a migration from analog to digital technology in the Command, Control, Communication, Computers, Intelligence, Surveillance, and Reconnaissance (C4ISR) community. The Tactical Unmanned Aerial Vehicle (TUAV) and Tactical Control System (TCS) are two brigade imagery intelligence systems that the Army will field within the next three years to achieve information superiority on the modern digital battlefield. These two systems provide the brigade commander with an imagery c

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9

Heiner, Benjamin Kurt. "Construction of Large Geo-Referenced Mosaics from MAV Video and Telemetry Data." BYU ScholarsArchive, 2009. https://scholarsarchive.byu.edu/etd/1804.

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Miniature Aerial Vehicles (MAVs) are quickly gaining acceptance as a platform for performing remote sensing or surveillance of remote areas. However, because MAVs are typically flown close to the ground (1000 feet or less in altitude), their field of view for any one image is relatively small. In addition, the context of the video (where and at what orientation are the objects being observed, the relationship between images) is unclear from any one image. To overcome these problems, we propose a geo-referenced mosaicing method that creates a mosaic from the captured images and geo-references t

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10

Andersen, Evan D. "A Surveillance System to Create and Distribute Geo-Referenced Mosaics Using SUAV Video." BYU ScholarsArchive, 2008. https://scholarsarchive.byu.edu/etd/1679.

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Small Unmanned Aerial Vehicles (SUAVs) are an attractive choice for many surveillance tasks. However, video from an SUAV can be difficult to use in its raw form. In addition, the limitations inherent in the SUAV platform inhibit the distribution of video to remote users. To solve the problems with using SUAV video, we propose a system to automatically create geo-referenced mosiacs of video frames. We also present three novel techniques we have developed to improve ortho-rectification and geo-location accuracy of the mosaics. The most successful of these techniques is able to reduce geo-locatio

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11

Thornton, Daniel Richard. "Unusual-Object Detection in Color Video for Wilderness Search and Rescue." BYU ScholarsArchive, 2010. https://scholarsarchive.byu.edu/etd/2452.

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Aircraft-mounted cameras have potential to greatly increase the effectiveness of wilderness search and rescue efforts by collecting photographs or video of the search area. The more data that is collected, the more difficult it becomes to process it by visual inspection alone. This work presents a method for automatically detecting unusual objects in aerial video to assist people in locating signs of missing persons in wilderness areas. The detector presented here makes use of anomaly detection methods originally designed for hyperspectral imagery. Multiple anomaly detection methods are consid

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12

Pritsolas, Joshua. "Principal Component Analysis and Spatial Regression Techniques to Model and Map Corn and Soybean Yield Variability with Radiometrically Calibrated Multitemporal and Multispectral Digital Aerial Imagery." Thesis, Southern Illinois University at Edwardsville, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10807753.

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<p> Remotely sensed data has been discussed as a possible alternative to the standard precision agriculture systems of combine-mounted yield monitors because of the burden, cost, end of season use, and inherent errors that are associated with these systems. Due to the potential quantitative use of remote sensing in precision agriculture, the primary focus of this study was to test the relationship between multitemporal/multispectral digital aerial imagery with corn (<i>Zea mays</i> L.) and soybean (<i>Glycine max </i> L.) yield. Digital aerial imagery was gathered on nine different dates throu

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13

Larson, Matthew David. "Monitoring Multi-Depth Suspended Sediment Loads in Lake Erie's Maumee River using Landsat 8 and Unmanned Aerial Vehicle (UAV) Imagery." Bowling Green State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1496484122311721.

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14

Salvado, Ana Beatriz de Tróia. "Aerial Semantic Mapping for Precision Agriculture using Multispectral Imagery." Master's thesis, 2018. http://hdl.handle.net/10362/59924.

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Nowadays constant technological evolution cover several necessities and daily tasks in our society. In particular, drones usage, given its wide vision to capture the terrain surface images, allows to collect large amounts of information with high efficiency, performance and accuracy. This master dissertation’s main purpose is the analysis, classification and respective mapping of different terrain types and characteristics, using multispectral imagery. Solar radiation flow reflected on the surface is captured by the used multispectral camera’s different lenses (RedEdge-M, created by Mic

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15

Hatton, Nicholle. "Use of small unmanned aerial system for validation of sudden death syndrome in soybean through multispectral and thermal remote sensing." Thesis, 2018. http://hdl.handle.net/2097/38840.

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Master of Science<br>Department of Biological & Agricultural Engineering<br>Ajay Sharda<br>Discovered in 1971, sudden death syndrome (SDS), caused by the fungus Fusarium virguliforme, has spread from the US to South American and European countries. It has potential to infect soybean crops worldwide, causing yield losses of 10% to 15% and even 70% in extreme cases. There is a need for rapid spatial assessment of SDS. Currently, the extent and severity of SDS are scored using visual symptoms as indicators. This method can take hours to collect and is subject to human bias and changing environmen

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16

Adama, Traore, and 茶奥. "Estimation of chlorophyll content with multispectral high-resolution imagery from an unmanned aerial vehicle (UAV) for paddy rice fields under alternate wetting and drying irrigation and system of rice intensification." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/bv24tz.

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碩士<br>國立屏東科技大學<br>土壤與水工程國際碩士學位學程<br>105<br>Chlorophyll content, a good indicator for plant healthy state and important biophysical parameters, is important significance for precision agriculture. To estimate the spatial variability of chlorophyll content over fields, traditional method using chlorophyll meter requires many point samples. Because of relationship between chlorophyll content and spectral reflectance of certain bands, remote sensing techniques have the potential to predict the chlorophyll content over large fields. In this study, the use of multispectral resolution imagery using u

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17

Penedos, Pedro Pais. "Precision Agriculture Using Unmanned Aerial Systems: Mapping Vigor’s Spatial Variability On Low Density Agricultures Using a Canopy Pixel Classification And Interpolation Model." Master's thesis, 2018. http://hdl.handle.net/10362/33277.

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Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial Technologies<br>It is becoming more present in agriculture’s practices the use of Unmanned Aerial Systems with sensors capable of capturing light, in the visible and in longer wavelengths of the electromagnetic spectrum once reflected on the field. These sensors have been used to perform Remote Sensing also in other knowledge fields, describing phenomenon without the risk, cost and the time consuming processes associated with in site samples collection and analysis by a technician

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