Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 42 for “"Hyperspectral Imagery"”.
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Hyperspectral Imagery for Precision Agriculture
The main contribution of this dissertation to hyperspectral image processing is that a hybrid feature selection and feature extraction approach was proposed and implemented for image feature reduction. The general procedure was to select a subset of the original image bands and transform the image …
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Deriving bathymetry from multispectral and hyperspectral imagery
… from remote sensing with multispectral or hyperspectral imagery provides an opportunity to acquire water depth data faster than traditional hydrographic survey methods without the need to deploy a hydrographic survey vessel. It also provides a means of collecting bathymetric data covertly. …
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Anomaly detection and compensation for hyperspectral imagery
Hyperspectral sensors observe hundreds or thousands of narrow contiguous spectral bands. The use of hyperspectral imagery for remote sensing applications is new and promising, yet the characterization and analysis of such data by exploiting both spectral and spatial information have not been …
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Arid land condition assessment and monitoring using mulitspectral and hyperspectral imagery.
… techniques appear to be limited. Remote sensing imagery with its broad areal coverage, repeatability, cost and time-effectiveness has been suggested and used as an alternative approach for more than three decades. This thesis evaluated the potential of different remote sensing techniques for …
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Estimation of biophysical properties of woodland canopies using LiDAR and hyperspectral imagery
… (ALS) and compared with data from an airborne hyperspectral sensor. The studyaimed to retrieve woodland stand height, LAI and canopy cover from the two sensortypes at Delamere Forest, located in North West England. The data were collectedbetween March 2008 and March 2009 in needle leaved …
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Assessing The Biophysical Naturalness Of Grassland In Eastern North Dakota With Hyperspectral Imagery
… areas dominated by introduced grasses using hyperspectral imagery.</p> <p>Hyperspectral imageries from the Hyperion sensor on EO-1 were acquired in late spring and late summer on 2009 and 2010. Field spectra for widely distributed species as well as smooth brome grass and Kentucky blue grass …
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Monitoring spatial and temporal water quality changes in Iowa lakes using airborne hyperspectral imagery
1 PDF file (xi, 104 pages)
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Using satellite hyperspectral imagery to map soil organic matter, total nitrogen and total phosphorus
… This study aimed at examining the capacity of hyperspectral reflectance data for mapping soil organic matter (SOM), total nitrogen (N) and total phosphorus (P). Soil samples collected from Eagle Creek Watershed, Cicero Creek Watershed, and Fall Creek Watershed were analyzed for organic matter …
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Synoptic Comparison of Salt Marsh Spatial Structure Using Hyperspectral Imagery at NOAA National Estuarine Research Reserves.
… communities. This research focused on the use of hyperspectral remote sensing to advance an overall understanding of salt marsh ecosystem productivity, diversity, and abundance within specific National Estuarine Research Reserves (NERRs) using AISA (Airborne Imaging Spectrometer for Different …
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USING AIRBORNE HYPERSPECTRAL IMAGERY TO ESTIMATE CHLOROPHYLL A AND PHYCOCYANIN IN THREE CENTRAL INDIANA MESOTROPHIC TO EUTROPHIC RESERVOIRS
… a and phycocyanin) from remotely sensed imagery. Hyperspectral airborne and hand-held reflectance spectra were acquired on three reservoirs (Geist, Morse and Eagle Creek) in Central Indiana, USA. Concurrent with the reflectance acquisition, in situ samples were collected and analyzed in …
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Map-guided hyperspectral image superpixel segmentation using semi-supervised partial membership latent Dirichlet allocation
… However, because of the high dimensionality of hyperspectral imagery, these regular superpixel segmentation algorithms often do not perform well in hyperspectral imagery. Although there are some authors who have modified some regular superpixel segmentation algorithms to fit the hyperspectral …
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