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CONSUELO
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CONSUELO

GONZALO MARTIN
Perfil en ORCIDPerfil en ResearcheridPerfil en DialnetPerfil en Scopus Author ID
Enviar correo a consuelo.gonzalo@upm.es Perfil de Linkedin
  • Summary
  • Career
  • Bibliometrics
  • Projects and transfer
  • Teaching
  • Network
  • Performance

Grupo de investigacion
Minería de Datos y Simulación (MIDAS)
Member
2014-06-17
Center
Centro de Tecnología Biomédica (CTB)
Researcher
2016-02-15
University Department
ARQUITECTURA Y TECNOLOGÍA DE
Catedraticos De Universidad
2019-10-02

Brief description ot the activity

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.  

Frequent topics

Timeline

Teaching sections
6
Last granted: 2017
Transfer sections
1
Last granted: 2019
Research sections
4
Last granted: 2020

Publications

Agencies
Number of Documents
N Citations
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

Index in

Collaboration

Almetrics publications

Publications in social networks: 0 / 87
Percentage: 0.00%
Score: 0
Average score:
0 / 87 = 0.000

I+D+I Projects

Miembro
Coordinador/a

Image/Photo

Final project (Bachelor)
73
Doctoral Thesis
17
DEA, máster, etc.
1
Final project (Master)
1

Subject / Course

Institutional collaboration last 5 years

Performance

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