. "Image Processing And Analysis"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Image processing and analysis"@en . . "6.0" . "### Working language\n\nPortuguês - Suitable for English-speaking students\n\n### Goals\n\nThe objective of this curricular unit is to present the main concepts and techniques of Digital Image Processing (PDI) with emphasis on images acquired by remote sensing sensors.\n\n### Learning outcomes and skills\n\nIt is intended that students:\n\n\\- Know and understand the main concepts and methods used in remote sensing image processing.\n\n\\- Be able to select and use the appropriate PDI tools to extract relevant information from remote sensing images.\n\n\\- Be able to apply the knowledge acquired in the effective analysis of simulated and experimental data, using advanced computational means.\n\n### Working mode\n\nIn person\n\n### Program\n\n1\\. Basic concepts of digital image processing.\ntwo\\. Spot operations / Image calibration.\n3\\. Spatial Filters / Noise Reduction.\n4\\. Color representation models.\n5\\. Image segmentation.\n6\\. Morphological Operations.\n7\\. Geometric Corrections / Image referencing.\n8\\. Multi-Spectral Imaging / Principal Components.\n9\\. Classification of multi-spectral images.\n10\\. Clustering / Unsupervised sorting.\n11\\. Operations in frequency space.\n\n### Mandatory Bibliography\n\nRichards J.A. Jia X.; [Remote Sensing Digital Image Analysis](http://catalogo.up.pt/F/-?func=find-b&local_base=FCUP&find_code=SYS&request=000227774 \"Remote Sensing Digital Image Analysis (Opens in a new window)\")\nGonzalez Rafael C.; [Digital image processing](http://catalogo.up.pt/F/-?func=find-b&local_base=FCUP&find_code=SYS&request=000260721 \"Digital image processing (Opens in a new window)\"). ISBN: 0-13-008519-7\nRafael C. Gonzalez; [Digital image processing using MATLAB](http://catalogo.up.pt/F/-?func=find-b&local_base=FCUP&find_code=SYS&request=000278836 \"Digital image processing using MATLAB (Opens in a new window)\"). ISBN: 0-13-008519-7\n\n### Complementary Bibliography\n\nSzeliski, R.; Computer Vision: Algorithms and Applications, Springer, 2010\nSonka Milan; [Image processing, analysis, and machine vision](http://catalogo.up.pt/F/-?func=find-b&local_base=FCUP&find_code=SYS&request=000281201 \"Image processing, analysis, and machine vision (Opens in a new window )\"). ISBN: 0-495-08252-X\n\n### Teaching methods and learning activities\n\nThe TP classes are used in part for the presentation of theoretical material, illustrated with varied examples, and there is another part dedicated to the execution of small practical (computational) projects. The “Other” type classes are used to support the realization of practical computational work as well as clarify any doubts that students may have.\n\n### Software\n\nSNAP\nMATLAB\n\n### Type of evaluation\n\nDistributed evaluation with final exam\n\n### Assessment Components\n\nOral test: 20.00%\n\nWritten work: 30.00%\n\nPractical or project work: 50.00%\n\n**Total:**: 100.00\n\n### Occupation Components\n\nSelf-study: 60.00 hours\nFrequency of classes: 42.00 hours\nProject development: 40.00 hours\nWritten work: 20.00 hours\n\n**Total:**: 162.00\n\n### Get Frequency\n\nRealization of Practical Works, with the delivery of the respective reports within the established deadlines, and with a classification of not less than 40% of the corresponding quotation (8 values in the 0-20 scale).\nStudents may have to answer questions related to the practical work carried out, during classes or in an oral exam.\n\n### Final classification calculation formula\n\nThe final classification will be determined based on the performance in practical work (50%) and in an individual mini-project (50%), none of these components being able to be less than 40% of the corresponding quotation (8 values in the 0-20 scale).\n\nMore information at: https://sigarra.up.pt/fcup/pt/ucurr_geral.ficha_uc_view?pv_ocorrencia_id=479404" . . "Presential"@en . "TRUE" . . "Master in Remote Sensing"@en . . "https://sigarra.up.pt/fcup/en/cur_geral.cur_view?pv_ano_lectivo=2021&pv_curso_id=16781" . "120"^^ . "Presential"@en . "The FCUP Master’s degree in Remote Sensing offers advanced training in Earth observation techniques, analysis and use of geospatial data acquired by sensors deployed on space-borne or aerial platforms. This Programme aims to equip students with skills on the fundamentals of Remote Sensing (RS), the application potential of the various sensors, acquisition techniques, data processing and analysis, and familiarization with various RS and Geographical Information Systems (GIS) data processing tools. Students are expected to be able to use this knowledge in the study of the planet and in solving problems in various fields of application. \nTo this end, the Programme was organised with a common core of curricular units addressing fundamental subjects and a set of optional units that aim to teach specific skills in applications for the study of the ocean, agriculture and forests, coastal zones, climate change, etc. \n\nVídeo de Apresentação: https://youtu.be/_JlMlgmp81U\n\n### Programme structure\n\nThe FCUP MSc in Remote Sensing is a two-year programme organised as follows \n\n* a first year corresponding to a study programme of a set of curricular units (60 ECTS);\n* a second year corresponding to a scientific dissertation or a professional internship with a final report (54 ECTS) plus a supporting curricular unit of 6 ECTS on scientific writing.\n\n### Schedule and teaching language\n\nThe Master's degree runs on a concentrated schedule predominantly on Friday afternoons and on Saturday mornings, attracting students from all over the country, including working students. It is also intended to attract students from other countries, and it is anticipated that classes may be taught in English. \n\n### Employment Prospects\n\nAs this is the only MSc of this type in Portugal, it will respond to the needs of specialized staff in Remote Sensing. The Masters in Remote Sensing will have unique competences to join public institutions or private companies of a technological nature, including space agencies (ESA, EUMETSAT, etc.), with activity in in areas related to the exploitation of Remote Sensing or GIS data, location-based services, thematic mapping, and many others involving the use of georeferenced data. \nIt is also expected that the graduates of this MSc will promote the technological development of the country through the creation of companies of a technological nature and some of them continue their studies for a PhD. \n\n### Entry requirements\n\n1. Hold a higher academic degree in a study programme whose curricula provides students adequate scientific background for Remote Sensing: several branches of Engineering, Environmental Sciences, Informatics, Mathematics, Physics, Geophysics, Geology and related fields.\n2. Hold a foreign higher academic degree in one of the areas described in the previous paragraph.\n3. Hold an academic, scientific or professional curriculum recognized by the scientific committee of the MSc Programme as sufficient to prove capacity to carry out this study program.\n\n### Selection criteria\n\n1\\. Academic curriculum (60%)\n\n* Sub-criterion 1: Training area (20%) \n First degrees with study plans which include scientific background for Remote Sensing will be valued. Background in Mathematics (8%), Informatics / Programming (8%) and Physics (4%) will be considered.\n* Sub-criterion 2: First degree’s grade (40%) \n For candidates who do not yet hold a degree but can obtain it before the end of the registration period, as well as for those who satisfy the condition iii) of entry requirements, the first degree’s grade is replaced by the credit-weighted average of grades in the completed courses.\n\n2\\. Scientific curriculum and professional experience (40%)\n\n* Sub-criterion 1: Technical and/or scientific publications and communications (15%) \n The following aspects will be considered: peer-reviewed papers in scientific journals (10%); other scientific papers (5%);\n* Sub-criterion 2: Participation in research projects (5%)\n* Sub-criterion 3: Professional curriculum (20%) \n The duration and nature of professional activity in areas of relevance to the Master’s programme shall be considered, as follows: relevance of the professional activity (12%); duration of the professional activity (8%).\n\nIn case of equal ratings the following criteria will be adopted:\n\n* First’s degree mark\n* Number of years of professional activity on a relevant field.\n* Number of scientific papers\n* Participation in internships during the first degree, in Remote Sensing topics.\n \n\n### Contacts\n\nCourse Director: m.dr.diretor@fc.up.pt\n\nPostgraduate Section: pos.graduacao@fc.up.pt\n\nAcademic Degree: Master\n\nType of course/cycle of study: Masters Degree \n\nDuration: 4 Semesters\n\n### Study Plan\n\n* The study plan from 2018: https://sigarra.up.pt/fcup/en/cur_geral.cur_planos_estudos_view?pv_plano_id=22922&pv_ano_lectivo=2021&pv_tipo_cur_sigla=&pv_origem=CUR \n\n* All Courses of Study: https://sigarra.up.pt/fcup/en/cur_geral.cur_planos_estudos_list?pv_curso_id=16781&pv_ano_lectivo=2021&pv_tipo_cur_sigla=&pv_origem=CUR \n\n### Certificates\n\n* Master's degree in Remote Sensing (120 ECTS credits)\n* Specialization in Remote Sensing (60 ECTS credits)"@en . . . . "2"@en . "FALSE" . . . "Master"@en . "Thesis" . "1300.00" . "Euro"@en . "3750.00 (International) / 2250.00 (CPLP)" . "Recommended" . "As this is the only MSc of this type in Portugal, it will respond to the needs of specialized staff in Remote Sensing. The Masters in Remote Sensing will have unique competences to join public institutions or private companies of a technological nature, including space agencies (ESA, EUMETSAT, etc.), with activity in in areas related to the exploitation of Remote Sensing or GIS data, location-based services, thematic mapping, and many others involving the use of georeferenced data.\nIt is also expected that the graduates of this MSc will promote the technological development of the country through the creation of companies of a technological nature and some of them continue their studies for a PhD."@en . "1"^^ . "TRUE" . "Downstream"@en . . . . . . . . . . . . . . . . . . . . .