Advanced Image Processing for Remote Sensing of Environment - online course
Program Overview
This five-day online course in Advanced Image Processing for Remote Sensing of Environment provides advanced techniques for processing cloud-based image datasets, utilizing artificial intelligence for image classification, and implementing advanced image classification using deep artificial neural networks. Led by experienced instructors, the course focuses on practical skills development through hands-on sessions in Python using open-source tools within Jupyter Notebooks. It is suitable for individuals with a background in remote sensing or data science who want to advance their skills in machine learning, artificial intelligence, and cloud-based imagery.
Program Outline
Outline:
- Aims:
- Learn advanced techniques for processing cloud-based image datasets
- Utilize artificial intelligence for image classification
- Focus on data science tools for image analysis from long-term datasets within Google Earth Engine
- Implement advanced image classification using deep artificial neural networks
- Structure:
- Five-day online course
- Mix of lectures and practical sessions
- Hands-on sessions in Python using open-source tools within Jupyter Notebooks
- Content:
- Jupyter notebooks and image processing
- Machine learning for image classification
- Deep convolutional neural networks
- Google Earth Engine
Teaching:
- Experienced instructors:
- Dr Daniel Simms - Senior Lecturer in Remote Sensing
- Dr Abdou Khouakhi - Lecturer in Remote Sensing
- Dr Toby Waine - Senior Lecturer in Applied Remote Sensing
- Focus on practical skills development through hands-on sessions
Careers:
- Suitable for individuals with a background in remote sensing or data science
- Ideal for those wanting to advance their skills in:
- Machine learning and artificial intelligence for image classification
- Use of cloud-based imagery
- Requires basic knowledge of Python programming language
Other:
- Course dates available upon inquiry
- Cost: £1,400
- Concessions available:
- 20% discount for Cranfield alumni
- £1340 - Professional/trade association discount
- £1280 - Multiple bookings (minimum 5 delegates)
- For further information and to download the course brochure, visit: https://www.cranfield.ac.uk/courses/short-courses/advanced-image-processing-for-remote-sensing-of-environment-online
Note:
This is a comprehensive extraction based on the provided information. Please note that some information, such as fees, admission requirements, and application process, are not included in the context and therefore are not addressed.
Overview:
Cranfield University is a postgraduate-focused institution specializing in science, technology, engineering, and management. It is renowned for its strong industry links and practical approach to education.
Services Offered:
Cranfield University offers a wide range of services to students, including:
Careers and Employability Service:
Provides guidance and support for career planning and job searching.IT Services:
Offers access to computer labs, software, and technical support.Libraries:
Provides access to extensive collections of books, journals, and online resources.Student Life and Campus Experience:
Key Reasons to Study There:
Strong Industry Links:
Cranfield University has close relationships with numerous organizations, providing students with opportunities for internships, placements, and networking.Practical Approach to Education:
The university emphasizes hands-on learning and real-world applications, preparing students for successful careers.World-Class Facilities:
Cranfield boasts state-of-the-art facilities, including laboratories, workshops, and research centers.Academic Programs:
Cranfield University offers a variety of postgraduate programs, including:
Taught Degrees:
MSc programs in various fields, such as aerospace, energy, and management.Research Degrees:
PhD and MPhil programs for students seeking to conduct advanced research.Apprenticeships:
Level 7 apprenticeships for professionals seeking to enhance their skills and knowledge.Professional Development:
Short courses and executive development programs for individuals and organizations.Other:
- Cranfield University has two campuses: Cranfield Campus and Cranfield University at Shrivenham.
- The university is committed to sustainability and has a strong track record in environmental research.
- Cranfield University is ranked highly in various international rankings, including those for sustainability and engineering.
Entry Requirements and Language Proficiency for "Advanced Image Processing for Remote Sensing of Environment"
Please note:
The course dates are not mentioned in the provided context. I recommend checking the official course page for updated information.
Entry Requirements:
This course welcomes students with backgrounds in remote sensing or data science who are eager to enhance their abilities in machine learning and artificial intelligence for image classification, as well as utilizing cloud-based imagery.
Basic familiarity with the Python programming language is essential.
Specific Entry Requirements:
Although the information provided doesn't explicitly state entry requirements, it implies that applicants should possess a relevant background in remote sensing or data science. This could include:
- Undergraduate degree in a relevant field such as Remote Sensing, Geography, Environmental Science, or related disciplines.
- Python programming language
- machine learning and artificial intelligence
Additional Notes:
- EU Home students: No specific information is provided regarding additional requirements for EU Home students.
- International Overseas students outside the EU: International students may be required to provide evidence of English language proficiency.
Language Proficiency Requirements:
The course information doesn't explicitly mention specific language requirements.
However, it's safe to assume that English language proficiency is essential for non-native English speakers, as the course materials and instruction are likely to be delivered in English.
Possible evidence of language proficiency could include:
- IELTS: 6.5 overall with no band score below 6.0
- TOEFL iBT: 90 overall with no section score below 20
- PTE Academic: 65 overall with no communicative skill score below 54
- Other recognized English language tests with equivalent scores
Conclusion:
While the provided context doesn't explicitly state all entry and language requirements, it provides a clear understanding of the expected knowledge level and background for potential applicants. For specific and up-to-date information, it's recommended to directly contact the course provider or visit the official course webpage.
