| 书目名称 | Two-Dimensional Change Detection Methods | | 副标题 | Remote Sensing Appli | | 编辑 | Murat İlsever,Cem Ünsalan | | 视频video | | | 概述 | Discusses change detection methods for remote sensing applications.Summarizes well-known methods in the literature.Proposes novel methods to solve the problem.Includes supplementary material: .Include | | 丛书名称 | SpringerBriefs in Computer Science | | 图书封面 |  | | 描述 | .Change detection using remotely sensed images has many applications, such as urban monitoring, land-cover change analysis, and disaster management. This work investigates two-dimensional change detection methods. The existing methods in the literature are grouped into four categories: pixel-based, transformation-based, texture analysis-based, and structure-based. In addition to testing existing methods, four new change detection methods are introduced: fuzzy logic-based, shadow detection-based, local feature-based, and bipartite graph matching-based. The latter two methods form the basis for a structural analysis of change detection. Three thresholding algorithms are compared, and their effects on the performance of change detection methods are measured. These tests on existing and novel change detection methods make use of a total of 35 panchromatic and multi-spectral Ikonos image sets. Quantitative test results and their interpretations are provided.. | | 出版日期 | Book 2012 | | 关键词 | Change Detection; Remote Sensing; Satellite Images; Urban Monitoring | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4471-4255-3 | | isbn_softcover | 978-1-4471-4254-6 | | isbn_ebook | 978-1-4471-4255-3Series ISSN 2191-5768 Series E-ISSN 2191-5776 | | issn_series | 2191-5768 | | copyright | Cem Ünsalan 2012 |
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发表于 2025-3-21 18:41:32
