"ENABLE-S3 IS ONE OF THE FIVE EUROPEAN PROJECTS APPROVED IN THE CALL H2020-ECSEL-2015-2-IA IN NOVEMBER 2015. 74 COMPANIES, RESEARCH CENTERS AND UNIVERSITIES CONSTITUTE THE CONSORTIUM OF THE PROJECT, WHICH IS ORIENTED TO 13 INDUSTRIAL USE-CASES BASED ON AUTONOMOUS VEHICLES (CARS, SHIPS, TRAINS, SPACE AIRCRAFTS, FARMING, HEALTH�) AND THEIR VERIFICATION SYSTEMS IN ORDER TO CREATE ROBUST AND SECURE SYSTEMS. THE UNIVERSITY OF LAS PALMAS DE GRAN CANARIA (ULPGC) PARTICIPATES IN TWO OF THESE USE CASES: RECONFIGURABLE VIDEO PROCESSORS FOR THE SPACE DOMAIN; AND AUTONOMOUS CONTROL PLATFORMS FOR PRECISION FARMING. IN BOTH CASES HYPERSPECTRAL TECHNOLOGY PLAYS A KEY ROLE IN ORDER TO ACHIEVE THE PLANNED GOALS. HYPERSPECTRAL TECHNOLOGY IS A TECHNIQUE ORIGINATED IN THE SPACE SECTOR AND CHARACTERIZED BY A HIGH SPECTRAL RESOLUTION. THIS FEATURE MAKES IT HIGHLY RECOMMENDED IN ALL THOSE APPLICATIONS IN WHICH DETECTION AND/OR IDENTIFICATION OF OBJECTS BASED ON THEIR CHEMICAL AND/OR PHYSICAL COMPOSITION IS ESPECIALLY RELEVANT. AS IT HAS HAPPENED WITH MUCH OF THE PROGRESS MADE IN THE SPACE SECTOR, THERE IS GREAT INTEREST IN TRANSFERRING THESE SKILLS TO OTHER APPLICATIONS. HOWEVER, ONE OF THE KEY CHALLENGES TO BE FACED IS FOCUSED ON ITS EXTREME REQUIREMENTS FOR STORAGE CAPACITY, TRANSMISSION BANDWIDTH AND PROCESSING SPEED. THE ADDITIONAL FACT OF CONSIDERING ON-BOARD EMBEDDED SYSTEMS, ESPECIALLY IN SPACE APPLICATIONS, MAKES POWER DISSIPATION AND RELIABILITY REQUIREMENTS OF PARTICULAR IMPORTANCE. ALL THESE REQUIREMENTS MUST BE TRANSLATED INTO ALGORITHMS THAT CAN BE EXECUTED IN RECONFIGURABLE COMPUTING PLATFORMS. RECONFIGURABILITY FACILITATES THE MITIGATION OF POTENTIAL PROBLEMS COMING FROM FAILURES OF PARTS OF THE SYSTEM AND PERMITS ADAPTING ITS OPERATION TO NEW ENVIRONMENTS. ULPGC CONTRIBUTION TO ENABLE-S3, AND HENCE THE GOAL OF THIS PROJECT TO BE SUBMITTED, IS FOCUSED ON THE DEVELOPMENT OF ALGORITHMS, ARCHITECTURES AND IMPLEMENTATIONS WHICH AIM TO OPTIMALLY CODING AND PROCESSING HYPERSPECTRAL IMAGES WITH HIGH PERFORMANCE EMBEDDED COMPUTING SYSTEMS. TWO POTENTIAL SCENARIOS ARE PRESENTED AS FINAL APPLICATIONS: ON ONE SIDE, THE SPACE ENVIRONMENT, IN WHICH HYPERSPECTRAL IMAGE COMPRESSION IS MANDATORY IN ORDER TO ADDRESS THE BANDWIDTH LIMITATION OF THE COMMUNICATION DATA CHANNEL; ON THE OTHER SIDE, PRECISION FARMING, FOR WHICH HYPERSPECTRAL IMAGING CAN BE USEFUL FOR IDENTIFYING PARAMETERS OF A HARVEST IN LOW VISIBILITY CONDITIONS (FOG, EXTREME RAIN, DUST ...), PARAMETERS SUCH AS THE DEGREE OF MATURITY OF THE CROP, MOISTURE LEVELS OR THE NEED FOR PESTICIDES DUE TO THE INTRODUCTION OF PLAGUES. IT IS EXPECTED THAT BY THE END OF THIS THREE YEARS PROJECT NEW SOLUTIONS PERMITTING GOOD COMPRESSION RATIOS OF HYPERSPECTRAL IMAGE BEFORE BEING SENT FROM EARTH OBSERVATION SATELLITES TO GROUND STATIONS, AS WELL AS IMPROVEMENTS IN THE FARMING PROCESSES, CAN BE SUCCESSFULLY ACHIEVED. "