Q3190076 (Q3190076): Difference between revisions
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(Created claim: summary (P836): In the framework of the SIMMAP GLOBAL PROJECT, this first sub-project has, as a matter of fact, the development of a system of capacity-building and processing of hyperspectral images and sensory data resulting from low-high dimensions with DRONES (SEMIREMOTE Sensorisation), the TEMPORAL PROCESS OF IMAGEMENT SECUTIONS WITH THE OBJECTIVE TO PERMIT THE OBJECTION OF MODEL AND PREDICATIONS AND DEVELOPMENT OF A BENCHMARK CONJUNT OF Hyperspectral Imag...) |
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In the framework of the SIMMAP GLOBAL PROJECT, this first sub-project has, as a matter of fact, the development of a system of capacity-building and processing of hyperspectral images and sensory data resulting from low-high dimensions with DRONES (SEMIREMOTE Sensorisation), the TEMPORAL PROCESS OF IMAGEMENT SECUTIONS WITH THE OBJECTIVE TO PERMIT THE OBJECTION OF MODEL AND PREDICATIONS AND DEVELOPMENT OF A BENCHMARK CONJUNT OF Hyperspectral Images OF HIGH SPECIFIC RESOLUTION IN AGRICOLAS ADECUATELY TECUATELY TCESSED TO BE Utilised by the SCIENTIFIC COMMUNITY for the development of new processing strategies and new applications._x000D_ the GREAT MAYORY OF APPLICATIONS OF Hyperspectral TECHNOLOGY ON AGRICOL ENTORNS PART OF Hyperspectral Imaginations Acquired EXCLUSIVELY from SATELITAL PLATAFORMATIONS OR FROM TRIPULED AEREOUS VEHICLES. TAKING PICTURES FROM THIS TYPE OF PLATFORMS HAS SEVERAL DRAWBACKS: LOGISTICALLY IT IS A COMPLEX PROCESS, EXPENSIVE AND NOT ADAPTABLE TO THE VARIABILITY OF SCENARIOS; AND AS FOR THE TYPE OF IMAGES ACQUIRED, THE SPATIAL RESOLUTION OF THESE IMAGES IS NOT ALWAYS THE OPTIMA FOR THE APPLICATION CONSIDERED. AS A SOLUTION TO THIS PROBLEM, IT IS PROPOSED IN THIS SUBPROJECT TO COMPLEMENT THESE SOURCES WITH A SERIES OF SEMI-REMOTE SENSORS ON AUTONOMOUS AIR VEHICLES. THE AIM IS TO REDUCE AND IMPROVE HYPERSPECTRAL IMAGE SENSORS TO ALLOW THEIR MOUNTING ON UNMANNED AIRBORNE PLATFORMS (UAVS) FOR A SEMI-REMOTE OBSERVATION, THUS EXPLOITING THE CURRENT BOOM AND DEVELOPMENT OF THESE DEVICES, AND TAKING ADVANTAGE OF THEIR ABILITY TO TRANSPORT DIFFERENT TYPES OF SENSORS (HUMIDITY, TEMPERATURE, CAMERAS, ETC.). IN PARTICULAR, THIS TYPE OF AUTONOME TRANSPORT WILL ENABLE THE USE OF HYPERSPECTRAL TECHNIQUES TO CARRY OUT THE MAPPING OF HIGH RESOLUTION OF FOREST AND AGRICULTURAL AREAS THROUGH THE COLLABORATION OF EQUIPMENT OF THESE DISPOSITIVES.POR DEFINITION AND COST OF THIS TYPE OF SYSTEMS, CANNOT BE OF AS HIGH QUALITY AS IN HIGH-COST SATELLITE SYSTEMS, BUT WHICH IN TURN ALLOW THE USE OF MULTIPLE UNITS, PROVIDING DIFFERENT VIEWS AND TIME SERIES OF IMAGES. FROM A COMPUTATIONAL POINT OF VIEW, HAVING IMAGES TAKEN FROM DIFFERENT HEIGHTS, ANGLES, AND AT DIFFERENT MOMENTS OF TIME, IS A FORMIDABLE SOURCE OF INFORMATION TO FACILITATE PROCESSING TASKS. THIS ALLOWS MOVING FROM A SPACE-SPECTRAL PROCESSING STRUCTURE TO A SPACE-SPECTRAL-TEMPORAL, I.E. 4D IMAGES (TWO SPATIAL DIMENSIONS, ONE SPECTRAL AND ONE TEMPORAL) BEING A VERY NOVEL FIELD WITH A LARGE POTENTIAL.SE TRIES TO PROVIDE LOW COST AND SIMPLE SOLUTIONS TO USE. IN THIS SENSE A HYPERSPECTRAL CAMERA OF SCANNING LINE WILL BE ADAPTED TO COMPACT, LIGHT AND LOW COST LINE DEVELOPED BY THE PARTICIPATING TEAM IN PROJECTS PRIOR TO ITS INSTALLATION ON BOARD OF THIS TYPE OF VEHICLES, (SOME OF WHICH HAVE ALREADY BEEN USED PREVIOUSLY BY THE TEAM, REQUIRING ONLY THEIR ADAPTATION TO THE NEW TASKS) AND A SET OF SENSORS THAT MAKE POSSIBLE A CORRECT SPATIAL AND TEMPORAL RECORDING OF THE DATA WILL BE INTEGRATED. REGARDING THE PROCESSING, THE APPLICATION OF ADVANCED COMPUTATIONAL INTELLIGENCE TECHNIQUES SUCH AS TDANN, RNN, SNN, ESN, LSM, ETC. WILL BE INVESTIGATED FOR THE JOINT CONSIDERATION OF SPATIAL, SPECTRAL AND TEMPORAL DIMENSIONS. (English) | |||||||||||||||
| Property / summary: In the framework of the SIMMAP GLOBAL PROJECT, this first sub-project has, as a matter of fact, the development of a system of capacity-building and processing of hyperspectral images and sensory data resulting from low-high dimensions with DRONES (SEMIREMOTE Sensorisation), the TEMPORAL PROCESS OF IMAGEMENT SECUTIONS WITH THE OBJECTIVE TO PERMIT THE OBJECTION OF MODEL AND PREDICATIONS AND DEVELOPMENT OF A BENCHMARK CONJUNT OF Hyperspectral Images OF HIGH SPECIFIC RESOLUTION IN AGRICOLAS ADECUATELY TECUATELY TCESSED TO BE Utilised by the SCIENTIFIC COMMUNITY for the development of new processing strategies and new applications._x000D_ the GREAT MAYORY OF APPLICATIONS OF Hyperspectral TECHNOLOGY ON AGRICOL ENTORNS PART OF Hyperspectral Imaginations Acquired EXCLUSIVELY from SATELITAL PLATAFORMATIONS OR FROM TRIPULED AEREOUS VEHICLES. TAKING PICTURES FROM THIS TYPE OF PLATFORMS HAS SEVERAL DRAWBACKS: LOGISTICALLY IT IS A COMPLEX PROCESS, EXPENSIVE AND NOT ADAPTABLE TO THE VARIABILITY OF SCENARIOS; AND AS FOR THE TYPE OF IMAGES ACQUIRED, THE SPATIAL RESOLUTION OF THESE IMAGES IS NOT ALWAYS THE OPTIMA FOR THE APPLICATION CONSIDERED. AS A SOLUTION TO THIS PROBLEM, IT IS PROPOSED IN THIS SUBPROJECT TO COMPLEMENT THESE SOURCES WITH A SERIES OF SEMI-REMOTE SENSORS ON AUTONOMOUS AIR VEHICLES. THE AIM IS TO REDUCE AND IMPROVE HYPERSPECTRAL IMAGE SENSORS TO ALLOW THEIR MOUNTING ON UNMANNED AIRBORNE PLATFORMS (UAVS) FOR A SEMI-REMOTE OBSERVATION, THUS EXPLOITING THE CURRENT BOOM AND DEVELOPMENT OF THESE DEVICES, AND TAKING ADVANTAGE OF THEIR ABILITY TO TRANSPORT DIFFERENT TYPES OF SENSORS (HUMIDITY, TEMPERATURE, CAMERAS, ETC.). IN PARTICULAR, THIS TYPE OF AUTONOME TRANSPORT WILL ENABLE THE USE OF HYPERSPECTRAL TECHNIQUES TO CARRY OUT THE MAPPING OF HIGH RESOLUTION OF FOREST AND AGRICULTURAL AREAS THROUGH THE COLLABORATION OF EQUIPMENT OF THESE DISPOSITIVES.POR DEFINITION AND COST OF THIS TYPE OF SYSTEMS, CANNOT BE OF AS HIGH QUALITY AS IN HIGH-COST SATELLITE SYSTEMS, BUT WHICH IN TURN ALLOW THE USE OF MULTIPLE UNITS, PROVIDING DIFFERENT VIEWS AND TIME SERIES OF IMAGES. FROM A COMPUTATIONAL POINT OF VIEW, HAVING IMAGES TAKEN FROM DIFFERENT HEIGHTS, ANGLES, AND AT DIFFERENT MOMENTS OF TIME, IS A FORMIDABLE SOURCE OF INFORMATION TO FACILITATE PROCESSING TASKS. THIS ALLOWS MOVING FROM A SPACE-SPECTRAL PROCESSING STRUCTURE TO A SPACE-SPECTRAL-TEMPORAL, I.E. 4D IMAGES (TWO SPATIAL DIMENSIONS, ONE SPECTRAL AND ONE TEMPORAL) BEING A VERY NOVEL FIELD WITH A LARGE POTENTIAL.SE TRIES TO PROVIDE LOW COST AND SIMPLE SOLUTIONS TO USE. IN THIS SENSE A HYPERSPECTRAL CAMERA OF SCANNING LINE WILL BE ADAPTED TO COMPACT, LIGHT AND LOW COST LINE DEVELOPED BY THE PARTICIPATING TEAM IN PROJECTS PRIOR TO ITS INSTALLATION ON BOARD OF THIS TYPE OF VEHICLES, (SOME OF WHICH HAVE ALREADY BEEN USED PREVIOUSLY BY THE TEAM, REQUIRING ONLY THEIR ADAPTATION TO THE NEW TASKS) AND A SET OF SENSORS THAT MAKE POSSIBLE A CORRECT SPATIAL AND TEMPORAL RECORDING OF THE DATA WILL BE INTEGRATED. REGARDING THE PROCESSING, THE APPLICATION OF ADVANCED COMPUTATIONAL INTELLIGENCE TECHNIQUES SUCH AS TDANN, RNN, SNN, ESN, LSM, ETC. WILL BE INVESTIGATED FOR THE JOINT CONSIDERATION OF SPATIAL, SPECTRAL AND TEMPORAL DIMENSIONS. (English) / rank | |||||||||||||||
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| Property / summary: In the framework of the SIMMAP GLOBAL PROJECT, this first sub-project has, as a matter of fact, the development of a system of capacity-building and processing of hyperspectral images and sensory data resulting from low-high dimensions with DRONES (SEMIREMOTE Sensorisation), the TEMPORAL PROCESS OF IMAGEMENT SECUTIONS WITH THE OBJECTIVE TO PERMIT THE OBJECTION OF MODEL AND PREDICATIONS AND DEVELOPMENT OF A BENCHMARK CONJUNT OF Hyperspectral Images OF HIGH SPECIFIC RESOLUTION IN AGRICOLAS ADECUATELY TECUATELY TCESSED TO BE Utilised by the SCIENTIFIC COMMUNITY for the development of new processing strategies and new applications._x000D_ the GREAT MAYORY OF APPLICATIONS OF Hyperspectral TECHNOLOGY ON AGRICOL ENTORNS PART OF Hyperspectral Imaginations Acquired EXCLUSIVELY from SATELITAL PLATAFORMATIONS OR FROM TRIPULED AEREOUS VEHICLES. TAKING PICTURES FROM THIS TYPE OF PLATFORMS HAS SEVERAL DRAWBACKS: LOGISTICALLY IT IS A COMPLEX PROCESS, EXPENSIVE AND NOT ADAPTABLE TO THE VARIABILITY OF SCENARIOS; AND AS FOR THE TYPE OF IMAGES ACQUIRED, THE SPATIAL RESOLUTION OF THESE IMAGES IS NOT ALWAYS THE OPTIMA FOR THE APPLICATION CONSIDERED. AS A SOLUTION TO THIS PROBLEM, IT IS PROPOSED IN THIS SUBPROJECT TO COMPLEMENT THESE SOURCES WITH A SERIES OF SEMI-REMOTE SENSORS ON AUTONOMOUS AIR VEHICLES. THE AIM IS TO REDUCE AND IMPROVE HYPERSPECTRAL IMAGE SENSORS TO ALLOW THEIR MOUNTING ON UNMANNED AIRBORNE PLATFORMS (UAVS) FOR A SEMI-REMOTE OBSERVATION, THUS EXPLOITING THE CURRENT BOOM AND DEVELOPMENT OF THESE DEVICES, AND TAKING ADVANTAGE OF THEIR ABILITY TO TRANSPORT DIFFERENT TYPES OF SENSORS (HUMIDITY, TEMPERATURE, CAMERAS, ETC.). IN PARTICULAR, THIS TYPE OF AUTONOME TRANSPORT WILL ENABLE THE USE OF HYPERSPECTRAL TECHNIQUES TO CARRY OUT THE MAPPING OF HIGH RESOLUTION OF FOREST AND AGRICULTURAL AREAS THROUGH THE COLLABORATION OF EQUIPMENT OF THESE DISPOSITIVES.POR DEFINITION AND COST OF THIS TYPE OF SYSTEMS, CANNOT BE OF AS HIGH QUALITY AS IN HIGH-COST SATELLITE SYSTEMS, BUT WHICH IN TURN ALLOW THE USE OF MULTIPLE UNITS, PROVIDING DIFFERENT VIEWS AND TIME SERIES OF IMAGES. FROM A COMPUTATIONAL POINT OF VIEW, HAVING IMAGES TAKEN FROM DIFFERENT HEIGHTS, ANGLES, AND AT DIFFERENT MOMENTS OF TIME, IS A FORMIDABLE SOURCE OF INFORMATION TO FACILITATE PROCESSING TASKS. THIS ALLOWS MOVING FROM A SPACE-SPECTRAL PROCESSING STRUCTURE TO A SPACE-SPECTRAL-TEMPORAL, I.E. 4D IMAGES (TWO SPATIAL DIMENSIONS, ONE SPECTRAL AND ONE TEMPORAL) BEING A VERY NOVEL FIELD WITH A LARGE POTENTIAL.SE TRIES TO PROVIDE LOW COST AND SIMPLE SOLUTIONS TO USE. IN THIS SENSE A HYPERSPECTRAL CAMERA OF SCANNING LINE WILL BE ADAPTED TO COMPACT, LIGHT AND LOW COST LINE DEVELOPED BY THE PARTICIPATING TEAM IN PROJECTS PRIOR TO ITS INSTALLATION ON BOARD OF THIS TYPE OF VEHICLES, (SOME OF WHICH HAVE ALREADY BEEN USED PREVIOUSLY BY THE TEAM, REQUIRING ONLY THEIR ADAPTATION TO THE NEW TASKS) AND A SET OF SENSORS THAT MAKE POSSIBLE A CORRECT SPATIAL AND TEMPORAL RECORDING OF THE DATA WILL BE INTEGRATED. REGARDING THE PROCESSING, THE APPLICATION OF ADVANCED COMPUTATIONAL INTELLIGENCE TECHNIQUES SUCH AS TDANN, RNN, SNN, ESN, LSM, ETC. WILL BE INVESTIGATED FOR THE JOINT CONSIDERATION OF SPATIAL, SPECTRAL AND TEMPORAL DIMENSIONS. (English) / qualifier | |||||||||||||||
point in time: 13 October 2021
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Revision as of 22:03, 12 October 2021
Project Q3190076 in Spain
| Language | Label | Description | Also known as |
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| English | No label defined |
Project Q3190076 in Spain |
Statements
95,928.8 Euro
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119,911.0 Euro
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80.0 percent
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1 January 2016
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31 December 2018
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UNIVERSIDADE DA CORUÑA
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43°29'4.88"N, 8°13'59.38"W
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15036
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EN EL MARCO DEL PROYECTO GLOBAL SIMMAP, ESTE PRIMER SUBPROYECTO TIENE COMO OBJETIVOS EL DESARROLLO DE UN SISTEMA DE CAPTACION Y PROCESADO DE IMAGENES HIPERESPECTRALES Y DATOS DE SENSORIZACION PROCEDENTES DE VUELOS A BAJA ALTURA CON CONJUNTOS DE DRONES (SENSORIZACION SEMIREMOTA), EL PROCESADO TEMPORAL DE SECUENCIAS DE IMAGENES CON EL OBJETO DE PERMITIR LA OBTENCION DE MODELOS Y PREDICCIONES Y EL DESARROLLO DE UN CONJUNTO BENCHMARK DE IMAGENES HIPERESPECTRALES DE ALTA RESOLUCION EN ENTORNOS AGRICOLAS ADECUADAMENTE ETIQUETADAS QUE PUEDAN SER UTILIZADOS POR LA COMUNIDAD CIENTIFICA PARA EL DESARROLLO DE NUEVAS ESTRATEGIAS DE PROCESADO Y NUEVAS APLICACIONES._x000D_ LA GRAN MAYORIA DE LAS APLICACIONES DE LA TECNOLOGIA HIPERESPECTRAL SOBRE ENTORNOS AGRICOLAS PARTEN DE IMAGENES HIPERESPECTRALES ADQUIRIDAS EXCLUSIVAMENTE DESDE PLATAFORMAS SATELITALES O DESDE VEHICULOS AEREOS TRIPULADOS. LA TOMA DE IMAGENES DESDE ESTE TIPO DE PLATAFORMAS SUPONE VARIOS INCONVENIENTES: LOGISTICAMENTE ES UN PROCESO COMPLEJO, CARO Y POCO ADAPTABLE A LA VARIABILIDAD DE ESCENARIOS; Y EN CUANTO AL TIPO DE IMAGENES ADQUIRIDAS, LA RESOLUCION ESPACIAL DE LAS MISMAS NO SIEMPRE ES LA OPTIMA PARA LA APLICACION CONSIDERADA. COMO SOLUCION A ESTA PROBLEMATICA, SE PROPONE EN ESTE SUBPROYECTO COMPLEMENTAR ESTAS FUENTES CON UNA SERIE DE SENSORES SEMI- REMOTOS SOBRE VEHICULOS AEREOS AUTONOMOS. SE BUSCA REDUCIR Y MEJORAR LOS SENSORES DE IMAGEN HIPERESPECTRALES PARA PERMITIR SU MONTAJE EN PLATAFORMAS AEROTRANSPORTADAS NO TRIPULADAS (UAVS) PARA UNA OBSERVACION SEMI-REMOTA, EXPLOTANDO ASI EL ACTUAL AUGE Y DESARROLLO DE ESTOS DISPOSITIVOS, Y APROVECHANDO SU CAPACIDAD DE TRANSPORTAR DIFERENTES TIPOS DE SENSORES (HUMEDAD, TEMPERATURA, CAMARAS, ETC). EN PARTICULAR, ESTE TIPO DE TRANSPORTE AUTONOMO POSIBILITARA EL USO DE TECNICAS HIPERESPECTRALES PARA REALIZAR EL MAPEADO DE ALTA RESOLUCION DE AREAS FORESTALES Y AGRICOLAS A TRAVES DE LA COLABORACION DE EQUIPOS DE ESTOS DISPOSITIVOS.POR DEFINICION Y COSTE DE ESTE TIPO DE SISTEMAS, NO PUEDEN SER DE TAN ALTA CALIDAD COMO EN LOS SISTEMAS DE ALTO COSTE SATELITALES, PERO QUE A SU VEZ PERMITEN LA UTILIZACION DE MULTIPLES UNIDADES, PROPORCIONANDO DIFERENTES VISTAS Y SERIES TEMPORALES DE IMAGENES. DESDE EL PUNTO DE VISTA COMPUTACIONAL, DISPONER DE IMAGENES TOMADAS DESDE DISTINTAS ALTURAS, ANGULOS, Y EN DISTINTOS INSTANTES DE TIEMPO, SUPONE UNA FORMIDABLE FUENTE DE INFORMACION PARA FACILITAR LAS TAREAS DE PROCESAMIENTO. ESTO PERMITE PASAR DE UNA ESTRUCTURA DE PROCESADO ESPACIO- ESPECTRAL A UNA ESPACIO-ESPECTRAL-TEMPORAL, O SEA, IMAGENES 4D (DOS DIMENSIONES ESPACIALES, UNA ESPECTRAL Y UNA TEMPORAL) SIENDO ESTE UN CAMPO MUY NOVEDOSO Y CON UN GRAN POTENCIAL.SE TRATA DE PROPORCIONAR SOLUCIONES DE BAJO COSTE Y SIMPLES DE UTILIZAR. EN ESTE SENTIDO SE ADAPTARA UNA CAMARA HIPERESPECTRAL DE ESCANEADO LINEA A LINEA COMPACTA, LIGERA Y DE BAJO COSTE DESARROLLADA POR EL EQUIPO PARTICIPANTE EN PROYECTOS ANTERIORES A SU INSTALACION A BORDO DE ESTE TIPO DE VEHICULOS, (ALGUNOS DE LOS CUALES YA HAN SIDO UTILIZADO ANTERIORMENTE POR EL EQUIPO, PRECISANDO SOLO DE SU ADAPTACION A LAS NUEVAS TAREAS) Y SE INTEGRARA UN CONJUNTO DE SENSORES QUE HAGAN POSIBLE UN CORRECTO REGISTRO ESPACIAL Y TEMPORAL DE LOS DATOS. EN CUANTO AL PROCESADO, SE INVESTIGARA LA APLICACION DE TECNICAS DE INTELIGENCIA COMPUTACIONAL AVANZADAS TIPO TDANN, RNN, SNN, ESN, LSM, ETC. PARA LA CONSIDERACION CONJUNTA DE LAS DIMENSIONES ESPACIALES, ESPECTRALES Y TEMPORALES. (Spanish)
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In the framework of the SIMMAP GLOBAL PROJECT, this first sub-project has, as a matter of fact, the development of a system of capacity-building and processing of hyperspectral images and sensory data resulting from low-high dimensions with DRONES (SEMIREMOTE Sensorisation), the TEMPORAL PROCESS OF IMAGEMENT SECUTIONS WITH THE OBJECTIVE TO PERMIT THE OBJECTION OF MODEL AND PREDICATIONS AND DEVELOPMENT OF A BENCHMARK CONJUNT OF Hyperspectral Images OF HIGH SPECIFIC RESOLUTION IN AGRICOLAS ADECUATELY TECUATELY TCESSED TO BE Utilised by the SCIENTIFIC COMMUNITY for the development of new processing strategies and new applications._x000D_ the GREAT MAYORY OF APPLICATIONS OF Hyperspectral TECHNOLOGY ON AGRICOL ENTORNS PART OF Hyperspectral Imaginations Acquired EXCLUSIVELY from SATELITAL PLATAFORMATIONS OR FROM TRIPULED AEREOUS VEHICLES. TAKING PICTURES FROM THIS TYPE OF PLATFORMS HAS SEVERAL DRAWBACKS: LOGISTICALLY IT IS A COMPLEX PROCESS, EXPENSIVE AND NOT ADAPTABLE TO THE VARIABILITY OF SCENARIOS; AND AS FOR THE TYPE OF IMAGES ACQUIRED, THE SPATIAL RESOLUTION OF THESE IMAGES IS NOT ALWAYS THE OPTIMA FOR THE APPLICATION CONSIDERED. AS A SOLUTION TO THIS PROBLEM, IT IS PROPOSED IN THIS SUBPROJECT TO COMPLEMENT THESE SOURCES WITH A SERIES OF SEMI-REMOTE SENSORS ON AUTONOMOUS AIR VEHICLES. THE AIM IS TO REDUCE AND IMPROVE HYPERSPECTRAL IMAGE SENSORS TO ALLOW THEIR MOUNTING ON UNMANNED AIRBORNE PLATFORMS (UAVS) FOR A SEMI-REMOTE OBSERVATION, THUS EXPLOITING THE CURRENT BOOM AND DEVELOPMENT OF THESE DEVICES, AND TAKING ADVANTAGE OF THEIR ABILITY TO TRANSPORT DIFFERENT TYPES OF SENSORS (HUMIDITY, TEMPERATURE, CAMERAS, ETC.). IN PARTICULAR, THIS TYPE OF AUTONOME TRANSPORT WILL ENABLE THE USE OF HYPERSPECTRAL TECHNIQUES TO CARRY OUT THE MAPPING OF HIGH RESOLUTION OF FOREST AND AGRICULTURAL AREAS THROUGH THE COLLABORATION OF EQUIPMENT OF THESE DISPOSITIVES.POR DEFINITION AND COST OF THIS TYPE OF SYSTEMS, CANNOT BE OF AS HIGH QUALITY AS IN HIGH-COST SATELLITE SYSTEMS, BUT WHICH IN TURN ALLOW THE USE OF MULTIPLE UNITS, PROVIDING DIFFERENT VIEWS AND TIME SERIES OF IMAGES. FROM A COMPUTATIONAL POINT OF VIEW, HAVING IMAGES TAKEN FROM DIFFERENT HEIGHTS, ANGLES, AND AT DIFFERENT MOMENTS OF TIME, IS A FORMIDABLE SOURCE OF INFORMATION TO FACILITATE PROCESSING TASKS. THIS ALLOWS MOVING FROM A SPACE-SPECTRAL PROCESSING STRUCTURE TO A SPACE-SPECTRAL-TEMPORAL, I.E. 4D IMAGES (TWO SPATIAL DIMENSIONS, ONE SPECTRAL AND ONE TEMPORAL) BEING A VERY NOVEL FIELD WITH A LARGE POTENTIAL.SE TRIES TO PROVIDE LOW COST AND SIMPLE SOLUTIONS TO USE. IN THIS SENSE A HYPERSPECTRAL CAMERA OF SCANNING LINE WILL BE ADAPTED TO COMPACT, LIGHT AND LOW COST LINE DEVELOPED BY THE PARTICIPATING TEAM IN PROJECTS PRIOR TO ITS INSTALLATION ON BOARD OF THIS TYPE OF VEHICLES, (SOME OF WHICH HAVE ALREADY BEEN USED PREVIOUSLY BY THE TEAM, REQUIRING ONLY THEIR ADAPTATION TO THE NEW TASKS) AND A SET OF SENSORS THAT MAKE POSSIBLE A CORRECT SPATIAL AND TEMPORAL RECORDING OF THE DATA WILL BE INTEGRATED. REGARDING THE PROCESSING, THE APPLICATION OF ADVANCED COMPUTATIONAL INTELLIGENCE TECHNIQUES SUCH AS TDANN, RNN, SNN, ESN, LSM, ETC. WILL BE INVESTIGATED FOR THE JOINT CONSIDERATION OF SPATIAL, SPECTRAL AND TEMPORAL DIMENSIONS. (English)
13 October 2021
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Ferrol
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Identifiers
TIN2015-63646-C5-1-R
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