Códigos de MATLAB® para calcular HEP (Histogramas de Patrones Equivalentes) para análisis de textura según método propuesto por:

Fernández, A.; Álvarez, M. Bianconi, F., 2013. “Texture description through histograms of equivalent patterns.” J Math Imaging Vis, 45(1), pp. 76-102.

International Society of Photogrammetry and Remote Sensing (ISPRS)

American Society for Photogrammetry and Remote Sensing (ASPRS)

 

Centro Nacional de Información Geográfica (CNIG)

 

Instituto Geográfico Nacional (IGN)

 

Instituto de Estadística y Cartografía de Andalucía

Infraestructura de Datos Espaciales de España

Código de MATLAB® para calcular índices de calidad de imágenes según método propuesto por:

Choi, M.G., J.H. Jung, and J.W. Jeon. 2009. “No-Reference Image Quality Assessment using Blur and Noise.” International Journal of Electrical and Electronics Engineering 3: 318-322.

AssesSeg Tool to measure the goodness of a segmentation by means a modification of Euclidean Distance 2 index (Liu et al. 2012. Discrepancy measures for selecting optimal combination of parameter values in object-based image analysis. ISPRS Journal of Photogrammetry and Remote Sensing 68 (2012) 144–156)  

 

AssesSeg Manual:

Documentation included in AssesSeg.rar

· AssesSeg.exe

· Source Code Python27.

· Working folder structure and test files.

dem-gmrf: An application for generating Digital Elevation Models (DEM) with Gaussian Markov Random Fields (GMRF). Works on Windows, GNU/Linux and Mac OS.(F.J. Aguilar, M. Aguilar, J.L. Blanco, A. Nemmaoui, "Analysis and Validation of Grid DEM Generation Based on Gaussian Markov Random Field (GMRF)", ISPRS Congress, Praga, 2016)  

 

DEM GMRF Readme:

Documentation included in dem-gmrf-master.zip

Link de descarga: https://github.com/3DLAB-UAL/dem-gmrf

AssesSeg 2.0 or C_AssesSeg (new versión).

 

Thanks to the improvements introduced in this new version the tool can exploit the modern multi-core CPU architectures capabilities.

Documentation included in C_AssesSeg.rar

· C_AssesSeg.exe

· C_AssesSeg_exe_draft.pdf (manual)

· Working folder structure and test files.

Dr. Manuel Ángel Aguilar Torres

Investigador Principal

Full Professor

 

Teléfono: +34 950 015997

Fax: +34 950 015491

Correo: maguilar@ual.es

http://www.ual.es/personal/maguilar/

Información de contacto:

Proyecto I+D+i RETOS Estatal - RTI2018-095403-B-I00

“MAPEADO DE INVERNADEROS E IDENTIFICACIÓN DE CULTIVOS HORTÍCOLAS PROTEGIDOS MEDIANTE ANÁLISIS DE IMAGEN BASADA EN OBJETOS Y SERIES TEMPORALES DE IMÁGENES DE SATÉLITE ”

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Supplementary Materials

Supplementary Materials for the paper: Unraveling Segmentation Quality of Remotely Sensed Images on Plastic-Covered Greenhouses: A Rigorous Experimental Analysis from Supervised Evaluation Metrics.