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所在平台: Udemy |
课程主页: https://www.udemy.com/course/pixel-and-object-based-high-resolution-image-processing-f/
课程评论：没有评论
**课程名称：** 高分辨率遥感影像的像素和对象级处理 **课程概述：** 本课程深入探讨高分辨率卫星影像在土地覆盖和土地利用制图中的应用，这是地球表面监测和测绘的关键领域。课程将重点介绍如何利用知名的ENVI软件进行土地覆盖和土地利用制图。您将学习如何运用监督分类算法，如人工神经网络（ANN）和最大似然分类器（MLC），对高分辨率卫星影像进行分类。课程还将讨论像素级和对象级影像分类方法，并介绍使用高分辨率影像进行对象级特征提取。此外，您还将学习如何使用无监督算法，如K-means算法，对卫星影像进行聚类。 本课程所介绍的方法可广泛应用于各类对象/特征提取和制图，例如从高分辨率卫星影像中提取城市区域。遥感作为一种强大的工具，能够有效地识别和分类不同类型的土地，评估植被状况，并估算环境变化。课程还将涵盖模型验证的重要性。 **核心亮点：** * 掌握在ENVI软件中使用无监督算法 * 掌握在ENVI软件中使用监督分类算法 * 学习高分辨率卫星影像的像素级分类方法 * 学习高分辨率卫星影像的对象级分类方法 * 学习在ENVI软件中进行精度评估 **总结：** 遥感和地理信息系统（GIS）技术在土地覆盖制图领域得到了广泛应用，能够提供准确及时的信息，这对于监测和管理自然资源至关重要。本课程将为您提供实践技能，以应对这些挑战。
High-resolution satellite imagery classification for land cover land use mapping is a critical aspect of Earth's surface monitoring and mapping. In this course, land cover land use mapping using the well-known ENVI software is covered. You will learn how to use supervised algorithms, such as Artificial Neural Networks (ANN) and Maximum Likelihood classifier (MLC) to classify high-resolution satellite imagery. Pixel-based and object-based image classification is also discussed. Object-based feature extraction using high-resolution imagery is presented. You will learn how to use unsupervised algorithms, such as the k-means algorithm for satellite image clustering. The discussed methods can be utilized for different object/feature extraction and mapping (i.e., urban region extraction from high-resolution satellite imagery). Remote sensing is a powerful tool that can be used to identify and classify different land types, assess vegetation conditions, and estimate environmental changes. The validation of the models is also covered. In summary, remote sensing and GIS technologies are widely used for land cover mapping. They provide accurate and timely information that is critical for monitoring and managing natural resources.Highlights:Learn how to use unsupervised algorithms in ENVI softwareLearn how to use supervised algorithms in ENVI softwareLearn pixel-based high-resolution satellite image classificationLearn object-based high-resolution satellite image classificationLearn accuracy assessment in ENVI software
