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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/remote-sensing
课程评论：没有评论
课程名称：遥感图像获取、分析与应用 概述： 欢迎参加“遥感图像获取、分析与应用”课程，在本课程中，我们将探索从太空或空中载具成像地球表面的本质。课程涵盖遥感的基本性质以及使用的平台和传感器类型，并深入阐述用于图像理解的计算算法，包括从早期历史上重要的技术到更现代的基于深度学习的方法。 本课程不要求学员具备遥感的先前知识，但会将内容讲解到与高级本科生遥感与图像分析课程相当的深度。课程中会使用向量和矩阵代数以及统计学的数学基础。考虑到不是所有参与者都有相关背景，课程提供了重要材料的总结和手算示例以进行说明。 课程材料通过实例和技术应用的评论进行了广泛的插图展示。这将为参与者在自己的学科领域中应用相关材料做好准备，并为进一步深入研究遥感及相关主题奠定基础。 课程大纲： - 课程欢迎、讲师介绍与资源 - 第1模块介绍及第1周讲座与测验 - 遥感是从航天器、飞行器和无人机获取地球表面图像的科学和技术，以帮助监测和管理自然和人造环境。课程内容覆盖遥感的基本性质及所用平台与传感器类型。 - 第2至第15周的讲座与测验 - 课程将安排每周的讲座、测验，并在特定周进行模块测试，以确保学员理解和掌握所学内容。 本课程总计15小时的教学时间，配合测验和测试，将为学员在各自的学科中应用这些技术做好准备，并支持他们进行更深入的遥感和相关主题的研究。
Name:Course Welcome, Instructor, Course Resources, Module 1 Introduction and Week 1 Lectures and Quiz
Description:Remote sensing is the science and technology of acquiring images of the earth’s surface from spacecraft, aircraft and drones to aid in the monitoring and management of the natural and built environments. Extensive computer-based analysis techniques are used to extract information from the recorded images in support of applications ranging over many earth and information science disciplines. This course covers the fundamental nature of remote sensing and the platforms and sensor types used. It also provides an in-depth treatment of the computational algorithms employed in image understanding, ranging from the earliest historically important techniques to more recent approaches based on deep learning. The course material is extensively illustrated by examples and commentary on the how the technology is applied in practice. While broad in its coverage the 15 hours of instruction, supported by quizzes and tests, will prepare participants to use the material in their own disciplines and to undertake more detailed study in remote sensing and related topics.
Name:Week 2 Lectures and Quiz
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Name:Week 5 Lectures and Quiz, Module 1 Test
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Name:Module 2 Introduction, Week 6 lectures and Quiz
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Name:Week 7 Lectures and Quiz
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Name:Week 8 Lectures and Quiz
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Name:Week 9 Lectures and Quiz
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Name:Week 10 Lectures and Quiz, Module 2 Test
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Name:Module 3 Introduction, Week 11 Lectures and Quiz
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Name:Week 14 Lectures and Quiz
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Name:Week 15 Lectures and Quiz, Module 3 Test, Course Conclusion
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Welcome to Remote Sensing Image Acquisition, Analysis and Applications, in which we explore the nature of imaging the earth's surface from space or from airborne vehicles. This course covers the fundamental nature of remote sensing and the platforms and sensor types used. It also provides an in-depth treatment of the computational algorithms employed in image understanding, ranging from the earliest historically important techniques to more recent approaches based on deep learning. It assumes no prior knowledge of remote sensing but develops the material to a depth comparable to a senior undergraduate course in remote sensing and image analysis. That requires the use of the mathematics of vector and matrix algebra, and statistics. It is recognised that not all participants will have that background so summaries and hand worked examples are included to illustrate all important material. The course material is extensively illustrated by examples and commentary on the how the technology is applied in practice. It will prepare participants to use the material in their own disciplines and to undertake more detailed study in remote sensing and related topics.
