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Showing 1 to 14 of 14 for “"multispectral image"”.
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Multispectral Image Labeling for Unmanned Ground Vehicle Environments
Described is the development of a multispectral image labeling system with emphasis on Unmanned Ground Vehicles(UGVs). UGVs operating in unstructured environments face significant problems detecting viable paths when LIDAR is the sole source for perception. Promising advances in computer vision and …
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Advanced spatial information processes: modeling and application
… information. The first framework is a new multispectral image context classification technique which is based on a recursive algorithm for optimal estimation of the state of a two-dimensional discrete Markov Random Field (MRF). The implementation of the recursive algorithm is a form of …
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Agricultural Crop Monitoring with Computer Vision
… light. Three areas are considered in the study: image segmentation, multispectral image registration, and the feature tracking of a stressed plant. The accuracy of several image segmentation methods are compared. Basic thresholding on pixel intensities and vegetation indices result in accuracies …
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Transillumination techniques in ophthalmic imaging
… is typically performed in a reflection geometry. Images are formed from light that has backscattered off corneal microstructures or backreflected from the retina. In this configuration, artifacts caused by superficial surface reflections are often encountered. These unwanted reflections can either …
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Single-cell analyses of tumor-infiltrating immune cells
… Based on our immunophenotypic analysis (multispectral image-based cytometry), we have discovered subpopulations of CD8+ T cells harboring repertoires of immunomodulatory receptors (GITR, CD44, LAG-3) that are enriched upon anti- PD-1 treatment. We have also detected subpopulations of …
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Development of a Machine Learning Algorithm for the Estimation of Soil Organic Matter from the Integration of UAV and In-Ground Soil Sensor
… work is based on the pretreatments of a UAV multispectral data under ideal indexes and a collection of field measurements employing in-ground sensors inside the ML (Machine Learning) approach should produce a good correlation with the laboratory LOI (Loss on Ignition) tested samples. Two …
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Development of a Machine Learning Algorithm for the Estimation of Soil Organic Matter from the Integration of UAV and In-Ground Soil Sensor
… work is based on the pretreatments of a UAV multispectral data under ideal indexes and a collection of field measurements employing in-ground sensors inside the ML (Machine Learning) approach should produce a good correlation with the laboratory LOI (Loss on Ignition) tested samples. Two …
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Development of hay yield monitoring systems
… tests, machine learning applications using UAV imagery, and comparative analysis of proximal sensing technologies. All studies were conducted in a 35-ha field near Centralia, Missouri, involving the collection of ground-truth biomass data in a hay field having a mixture of timothy grass and red …
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Assessing processes of long-term land cover change and modelling their effects on tropical forest biodiversity patterns – a remote sensing and GIS-based approach for three landscapes in East Africa
… Uganda (for comparison purposes). Landsat imagery of in total eight or seven dates in regular intervals from 1972/73 to 2003 was used. Making use of supervised multispectral image classification procedures, in total, 12 land cover classes (six forest formations) were distinguished for the …
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Detection and classification in the compressed domain for multispectral images
The student, Yuqi Li, accepted the attached license on 2020-11-30 at 12:57.
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Ανάπτυξη συστήματος επεξεργασίας δεδομένων τηλεπισκόπησης για αυτόματη ανίχνευση και ταξινόμηση περιοχών με περιβαλλοντικές αλλοιώσεις
Η παρούσα διατριβή είχε σαν κύριο στόχο την ανάλυση και επεξεργασία των δεδομένων SAR υπό το πρίσμα του περιεχομένου υφής για την ανίχνευση περιοχών με περιβαλλοντικές αλλοιώσεις όπως είναι οι παράνομες εναποθέσεις απορριμμάτων. Τα δεδομένα που χρησιμοποιήθηκαν προέρχονταν από τον δορυφόρο ENVISAT …
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A bio-inspired, asynchronous, time-domain, multispectral imaging system for high dynamic range near-infrared fluorescence image-guided surgery
DSpace SAF Submission Ingestion Package generated from Vireo submission #13250 on 2019-02-08 at 11:41:37