Search results for "Spatial information"

showing 3 items of 3 documents

Improving active learning methods using spatial information

2011

Active learning process represents an interesting solution to the problem of training sample collection for the classification of remote sensing images. In this work, we propose a criterion based on the spatial information that can be used in combination with a spectral criterion in order to improve the selection of training samples. Experimental results obtained on a very high resolution image show the effectiveness of regularization in spatial domain and open challenging perspectives for terrain campaigns planning. © 2011 IEEE.

Active learningContextual image classificationComputer sciencebusiness.industryvery-high-resolution (VHR) imagesTerrainspatial informationsupport vector machines (SVMs)Machine learningcomputer.software_genreRegularization (mathematics)Support vector machineArtificial intelligencebusinessImage resolutioncomputerSpatial analysis
researchProduct

Semi-automated and interactive segmentation of contrast-enhancing masses on breast DCE-MRI using spatial fuzzy clustering

2022

Abstract Multiparametric Magnetic Resonance Imaging (MRI) is the most sensitive imaging modality for breast cancer detection and is increasingly playing a key role in lesion characterization. In this context, accurate and reliable quantification of the shape and extent of breast cancer is crucial in clinical research environments. Since conventional lesion delineation procedures are still mostly manual, automated segmentation approaches can improve this time-consuming and operator-dependent task by annotating the regions of interest in a reproducible manner. In this work, a semi-automated and interactive approach based on the spatial Fuzzy C-Means (sFCM) algorithm is proposed, used to segme…

Fuzzy clusteringUnsupervised fuzzy clusteringbusiness.industryComputer scienceBiomedical EngineeringHealth InformaticsPattern recognitionImage processingContext (language use)Image segmentationComputer-assisted lesion detectionMagnetic Resonance ImagingThresholdingConvolutional neural networkBreast cancer; Computer-assisted lesion detection; Magnetic Resonance Imaging; Semi-automated segmentation; Spatial information; Unsupervised fuzzy clusteringBreast cancerSignal ProcessingSemi-automated segmentationSpatial informationSegmentationArtificial intelligencebusinessMultiparametric Magnetic Resonance ImagingBiomedical Signal Processing and Control
researchProduct

L'incremento della sostenibilità ambientale attraverso una corretta gestione dell'irrigazione.

2014

Lo scopo di questo lavoro è quello di mettere a punto, a partire dalle informazioni territoriali quali caratteristichemeteorologiche e pedologiche, uno studio capace di valutare la sostenibilità della gestione irrigua in tre ipotetiche parcelle sperimentali individuate nel territorio del sottobacino Iudeo-Bucari (TP). Sitratta di tre vigneti che rappresentano per caratteristiche morfologiche e gestionali l'intero sottobacino, ovvero una delle aree maggiormente vitate della Sicilia. Il fine è valutare la sostenibilità della gestione irrigua in termini di risparmio energetico, attraverso l'applicazione del modello di bilancio idrico FAO 56. Questo tipo di studio pone le basi per la redazione …

Settore AGR/14 - PedologiaThe purpose of this work is todevelop from spatial information such as weather and soil characteristics a study capable ofhighlighting the sustainability of irrigation management of three hypothetical experimental plots identified in the territory of the sub-basin Iudeo Bucari located western Sicily in the province of Trapani. There are three vineyards that represent for morphological characteristics and management the entire sub-basin which is one of the areas most under vines in Sicily. The aim is to assess the sustainability of irrigation management in terms of saving energy through the application of the model FAO 56 fetlock water balance. This study lays the foundation for the preparation of action plans developed to reverse negative trends in environmental resource management which are susceptible to degradation processes.
researchProduct