HANDBOOK OF RANDOM FORESTS: THEORY AND APPLICATIONS FOR REMOTE SENSING
暫譯: 隨機森林手冊:遙感的理論與應用
Ronny Hansch
- 出版商: World Scientific Pub
- 出版日期: 2025-11-30
- 售價: $5,010
- 貴賓價: 9.5 折 $4,760
- 語言: 英文
- 頁數: 300
- 裝訂: Hardcover
- ISBN: 9813224053
- ISBN-13: 9789813224056
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相關分類:
人工智慧、地理資訊系統 Gis、Machine Learning
尚未上市,無法訂購
商品描述
This compendium provides a hands-on description of random forests. The text starts with a consistent introduction of general methods to create, train, and fuse ensembles of decision trees. Instead of limiting the explanation to the general-purpose layout of traditional random forests, this book outlines specifications during tree creation and training, that are especially well suited to analyze structured data such as images. The theoretical foundations are explained as deeply as practical and implementation issues. The many possible variations of the underlying Random Forest model are discussed as well as their implications on the outcome in order to provide insights into the influence of these parameters and their possible side-effects. Last but not least, this unique title provides specific examples of the usage of Random Forests for analysis tasks of remote sensing imagery.
Readership: Researchers, professionals, academics and graduate students in pattern recognition/image analysis, machine perception/computer vision, and artificial intelligence.
商品描述(中文翻譯)
本書彙編提供了隨機森林的實作描述。文本首先一致地介紹了創建、訓練和融合決策樹集成的一般方法。這本書不僅限於傳統隨機森林的一般佈局,而是概述了在樹的創建和訓練過程中的具體規範,這些規範特別適合分析結構化數據,例如圖像。理論基礎的解釋深入且涵蓋實作問題。書中討論了基礎隨機森林模型的多種可能變體及其對結果的影響,以提供對這些參數及其可能副作用的影響的見解。最後但同樣重要的是,這本獨特的書籍提供了隨機森林在遙感影像分析任務中的具體應用範例。
讀者對象:從事模式識別/圖像分析、機器感知/計算機視覺和人工智慧的研究人員、專業人士、學者及研究生。