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Browsing by Subject "Image classification"

Now showing items 1-10 of 10

A feature extraction software tool for agricultural object-based image analysis

Ruiz Fernández, Luis Ángel; Recio Recio, Jorge Abel; Fernández-Sarría, Alfonso; Hermosilla, T. (Elsevier, 2011-05-01)

A software application for automatic descriptive feature extraction from image-objects, FETEX 2.0, is presented and described in this paper. The input data include a multispectral high resolution digital image and a vector ...
Aprendizaje automático para identificación de razas caninas

Rodríguez Loriente, Marcos (Universitat Politècnica de València, 2022-01-04)

[ES] Dada la imagen de un perro, se pretenden utilizar técnicas de Aprendizaje Automático para determinar su raza entre un conjunto de 120 razas totales. Para ello se dispone de un dataset con un total de 10222 imágenes ...
Assessing contextual descriptive features for plot-based classification of urban areas

Hermosilla, T.; Ruiz Fernández, Luis Ángel; Recio Recio, Jorge Abel; Cambra López, María (Elsevier, 2012-05-15)

A methodology for mapping urban land-use types integrating information from multiple data sources (high spatial resolution imagery, LiDAR data, and cadastral plots) is presented. A large set of complementary descriptive ...
Calibration of deep probabilistic models with decoupled bayesian neural networks

Maroñas-Molano, Juan; Paredes Palacios, Roberto; Ramos, Daniel (Elsevier, 2020-09-24)

[EN] Deep Neural Networks (DNNs) have achieved state-of-the-art accuracy performance in many tasks. However, recent works have pointed out that the outputs provided by these models are not well -calibrated, seriously ...
Clasificación de imágenes mediante conceptos lingüísticos difusos cercanos al lenguaje humano

Cerrón González, Juan (Universitat Politècnica de València, 2016-05-09)

[EN] We use fuzzy logic to represent images in a similar way a human does, i.e., by means of words. Words let us describe an image focusing on the relevant features according to the human perception.
Comparison of Sentinel-2 and High-Resolution Imagery for Mapping Land Abandonment in Fragmented Areas

Morell-Monzó, Sergio; Estornell Cremades, Javier; Sebastiá-Frasquet, M.-T. (MDPI AG, 2020-06)

[EN] Agricultural land abandonment is an important environmental issue in Europe. The proper management of agricultural areas has important implications for ecosystem services (food production, biodiversity, climate ...
Detección de noticias falsas y caras de personas manipuladas

Barbas Rebollo, David (Universitat Politècnica de València, 2020-07-30)

[ES] En este trabajo final de grado se estudiarán las técnicas existentes para detectar desinformación en dos ámbitos distintos: (i) noticias falsas e (ii) imágenes faciales falsas generadas por redes neuronales. Durante ...
Evaluation of automatic building detection approaches combining high resolution images and LiDAR data

Hermosilla, T.; Ruiz Fernández, Luis Ángel; Recio Recio, Jorge Abel; Estornell Cremades, Javier (MDPI, 2011)

In this paper, two main approaches for automatic building detection and localization using high spatial resolution imagery and LiDAR data are compared and evaluated: thresholding-based and object-based classification. The ...
Land Use Classification of VHR Images for Mapping Small-Sized Abandoned Citrus Plots by Using Spectral and Textural Information

Morell-Monzó, Sergio; Sebastiá-Frasquet, M.-T.; Estornell Cremades, Javier (MDPI AG, 2021-02)

[EN] Agricultural land abandonment is an increasing problem in Europe. The Comunitat Valenciana Region (Spain) is one of the most important citrus producers in Europe suffering this problem. This region characterizes by ...
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs

Orlando, José Ignacio; Fu, Huazhu; Breda, Joao Barbossa; van Keer, Karel; Bathula, Deepti R.; Diaz-Pinto, Andrés; Fang, Ruogu; Heng, Pheng-Ann; Kim, Jeyoung; Lee, JoonHo; Lee, Joonseok; Li, Xiaoxiao; Liu, Peng; Lu, Shuai; Murugesan, Balamurali; Naranjo Ornedo, Valeriana (Elsevier, 2020-01)

[EN] Glaucoma is one of the leading causes of irreversible but preventable blindness in working age populations. Color fundus photography (CFP) is the most cost-effective imaging modality to screen for retinal disorders. ...