Search: "Pattern Recognition" Filter:"Pattern Recognition"

2 tagged events, 2 books found.


Tagged events

February 2016

FEB 24
Conference name: The 5th International Conference on Pattern Recognition Applications and Methods – ICPRAM 2016 V...

Rome,
Italy

September 2017

SEP 18
The submission is open until August 18, 2017. Please consider submitting your papers to AIPR2017. All registered pape...

Lodz,
Poland

Books

Pattern Recognition Methods for Crop Classification from Hyperspectral Remote Sensing Images

Metodos de Clasificacion Aplicados al Reconocimiento de Campos de Cultivo a partir de Imagenes Hiperespectrales

by Luis Gomez Chova

05/21/2004

(Complete work in Spanish) Remote sensing aerial spectral imaging was one of the first application areas where spectral imaging was used in order to identify and monitor the natural resources and covers on earth surface. Aerial spectral imaging is being developed with the aim of monitoring natural resources like coastal areas, forestry and extensive crops. The information contained in hyperspectral images allows the reconstruction of the energy curve radiated by the terrestrial surface throughout the electromagnetic spectrum. Hence, the characterization, identification and classification of the observed material from their spectral curve is an interesting possibility. Pattern recognition methods have proven to be effective techniques in this kind of applications. In fact, classification of...

by Anish Chand Turlapaty

06/17/2010

Data assimilation of satellite-based observations of hydrological variables with full numerical physics models can be used to downscale these observations from coarse to high resolution to improve microwave sensor-based soil moisture observations. Moreover, assimilation can also be used to predict related hydrological variables, e.g., precipitation products can be assimilated in a land information system to estimate soil moisture. High quality spatio-temporal observations of these processes are vital for a successful assimilation which in turn needs a detailed analysis and improvement. In this research, pattern recognition and adaptive signal processing methods are developed for the spatio-temporal analysis and enhancement of soil moisture and precipitation datasets. These methods are app...