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所在平台: Udemy |
课程主页: https://www.udemy.com/course/object-based-image-analysis-classification-in-qgisarcgis/
课程评论：没有评论
课程名称：基于对象的图像分析与分类（QGIS和ArcGIS） 课程概述： 本课程专为熟悉QGIS和ArcGIS基础的学习者设计，旨在提升地理空间分析技能。通过本课程，您将深入理解基于对象的土地利用与土地覆盖（LULC）映射，并学习如何运用机器学习算法处理遥感数据。该课程强调先进的地理空间分析技术，包括图像分割和基于对象的分析，帮助您掌握遥感中的重要任务——土地利用与覆盖映射。 课程介绍： 欢迎参加本中高级课程，专注于基于对象的图像分析。课程的目标是提升您在LULC映射方面的实用技能，成为地理信息系统（GIS）和遥感分析领域的专家。您将在真实数据的支持下，掌握机器学习算法及图像分割的基本原理。 前置知识： 本课程适合具备基本遥感图像分析知识的学习者。 独特方法： 该课程通过实践性、易于跟随的教学方法与其他培训资源区分开来。每节课都旨在提高您的GIS和遥感技能，提供实用解决方案，您将能分析空间数据，掌握具市场竞争力的GIS技能。 课程内容： 所学内容包括基于对象的分析理论和LULC映射的核心原则，图像分割的实施，以及如何利用实际项目数据进行基于对象的作物分类。课程将运用先进的机器学习算法，如随机森林和支持向量机，进行全部的图像分类过程。 目标受众： 本课程面向地理学家、程序员、社会科学家、地质学家、GIS和遥感专家等多个领域的专业人士，尤其适合那些需要LULC地图及掌握LULC和变化检测基础的人员。 实践练习： 课程中将包括具体指导、代码片段和数据集的实践练习，以帮助您使用ArcGIS和QGIS创建LULC图和变化图。 课程包含内容： 立即注册参与课程，获得课程数据、Java代码文件及未来资源，确保全面的学习体验。不要错过这个提升您地理空间分析技能的机会！
Course Highlights:Discover the Power of Object-Based Land Use and Land Cover Mapping with Machine Learning and Remote Sensing Data in QGIS and ArcGISThis comprehensive course is tailored for individuals familiar with QGIS and ArcGIS basics, seeking to advance their geospatial analysis skills. Dive into sophisticated geospatial analysis techniques, including segmentation and object-based image analysis (OBIA) for land use and land cover (LULC) mapping, all while applying cutting-edge Machine Learning algorithms. Elevate your expertise in QGIS, ArcGIS, and satellite-based image analysis to master one of the most sought-after tasks in Remote Sensing: land use and land cover mapping.Course Introduction:Welcome to this intermediate to advanced course on object-based image analysis for land use and land cover (LULC) mapping. Designed to equip you with practical knowledge in advanced LULC mapping, a crucial skill for Geographic Information Systems (GIS) and Remote Sensing analysts, this course empowers you to confidently perform Machine Learning algorithms for LULC mapping, grasp object-based image analysis, and understand the basics of segmentation. All of this will be executed on real data within two of the most popular GIS software platforms: ArcGIS and QGIS.Prerequisite Knowledge:Please note that this course is best suited for individuals with basic knowledge of Remote Sensing image analysis.Unique Approach:This course distinguishes itself from other training resources through its hands-on, easy-to-follow approach. Each lecture aims to enhance your GIS and Remote Sensing skills, providing practical solutions. You'll gain the capability to analyze spatial data for your own projects, earning recognition from future employers for your advanced GIS skills and mastery of cutting-edge LULC techniques.Course Content:Throughout the course, you'll explore the theory behind OBIA and LULC mapping and gain fundamental insights into working with satellite images. You'll discover how to perform image segmentation in QGIS and ArcGIS, mastering all stages of object-based LULC mapping. Additionally, you'll apply OBIA to a real-life object-based crop classification task using actual project data. All image classification processes will leverage state-of-the-art Machine Learning algorithms, including Random Forest and Support Vector Machines.Target Audience:This course caters to professionals in various fields, including geographers, programmers, social scientists, geologists, GIS and Remote Sensing experts, and others who require LULC maps and aim to grasp the fundamentals of LULC and change detection in GIS. If you're planning to undertake tasks that demand the use of cutting-edge classification algorithms to create land cover and land use maps, this course will equip you with the confidence and skills to tackle such geospatial challenges.Practical Exercises:Engage in practical exercises featuring precise instructions, code snippets, and datasets to create LULC maps and change maps using ArcGIS and QGIS.Course Inclusions:Enroll in this course today to gain access to course data, Java code files, and future resources, ensuring a comprehensive learning experience. Don't miss out on this opportunity to expand your geospatial analysis skills!
