logo
  • Inicio
  • es
    Español Inglés
  • LOGIN
CONSUELO
CG

CONSUELO

GONZALO MARTIN
Perfil en ORCIDPerfil en ResearcherIDPerfil en DialnetPerfil en Scopus Author ID
Enviar correo a consuelo.gonzalo@upm.es Perfil de Linkedin
  • Presentación
  • Trayectoria Profesional
  • Bibliometría
  • Proyectos y transferencia
  • Docencia
  • Red
  • Resultados y actividad

Situación actual

Grupo de investigacion
Minería de Datos y Simulación (MIDAS)
Miembro
2014-06-17
Centro
Centro de Tecnología Biomédica (CTB)
Investigador
2016-02-15
Departamento Universitario
ARQUITECTURA Y TECNOLOGÍA DE
Catedraticos De Universidad
2019-10-02

Descripción Breve de Actividad Realizada

My research profile is mainly developed in the area of multi-modal image processing and analysis, applied to different contexts, among which we can highlight: Earth Observation and Bioinformatics (different modalities of medical images). As for the lines in which I have developed my research, they can be summarized in five: (i) Image Processing Architectures, (ii) Joint Transformations, (iii) Machine Learning and Artificial Neural Networks, (iv) Data Integration and (v) Object Based Image Processing (OBIA). 

During the 32 years of research work (1987-2019), the main scientific achievements have been 

* Formation of a multidisciplinary and international research group that has been accumulating experience in the field of image processing and its different applications for more than 20 years. 

* Development of techniques and methods for the generation of high quality spatial and spectral images. These results have been included in an open access framework that incorporates a battery of image fusion algorithms, developed in-house, as well as the metrics to evaluate the quality of the fused images (http://ijfusion.es). In addition to the usual scientific dissemination channels, these developments were transmitted to the entire Spanish remote sensing community through the organization of two scientific conferences on this subject. 

*Development of new artificial neural network algorithms for their application to image analysis in different domains. 

* Development of methodologies for processing and analysing images based on objects for their application in precision agriculture and disease detection. 

*Transfer of knowledge to the productive sector, both public and private The participation in the AquaSat system, a dynamic support system for irrigation decision making at the farm level that combines satellite information with field data, is worth mentioning. It allows the estimation of water demands and the zoning of management areas, providing historical information, irrigation recommendations and analysis tools. The results of the project were mainly the development, implementation and validation of the AquaSat technology package and its impacts on agricultural production.  

Temáticas más frecuentes

Timeline

Tramos de docencia
6
Último concedido: 2017
Tramos de transferencia
1
Último concedido: 2019
Tramos de investigación
4
Último concedido: 2020

Publicaciones

Agencias
Nº Documentos
Nº Citas
h-index
Q1
D1
IFNA
IFNB
IFNESI
WoS
November 2025
94
781
15
27
7
0.68
0.85
0.63
Scopus
November 2025
126
1411
20
42
18
0.74
0.75
-
Europe PMC
November 2025
5
5
2
-
-
-
-
-
Dialnet
November 2025
12
3
1
-
-
-
-
-
Porcentaje en Q1 1/5
Porcentaje en D1 2/10

Indexada en

Colaboración

Publicaciones en Altmetrics

Publicaciones en redes sociales: 0 / 87
Porcentaje: 0.00%
Puntuación: 0
Puntuación media:
0 / 87 = 0.000

Proyectos I+D+i

Miembro
Coordinador/a

Imagen/Foto

TFG
73
Tesis Doctoral
17
DEA, máster, etc.
1
TFM
1

Asignatura / Curso

Colaboración institucional últimos 5 años

Resultados y actividad

Contacto | Ayuda
Aviso Legal | Política de Cookies | Política de Privacidad | Declaración de accesibilidad | Mapa del sitio

Conformidad WCAG 2.2 nivel AA