Remote Sensing Based Building Extraction

ISBN 10: 3039283820 / ISBN 13: 9783039283828

Published by MDPI AG, 2020

About this Item

Remote Sensing Based Building Extraction | Taschenbuch | Kartoniert / Broschiert | Englisch | 2020 | MDPI AG | EAN 9783039283828 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 119427344

Bibliographic Details

• Title: Remote Sensing Based Building Extraction
• Publisher: MDPI AG
• Publication Date: 2020
• Language: English
• ISBN 10: 3039283820
• ISBN 13: 9783039283828
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 244W x 170H x 28D millimeters 244 millimeters width by 170 millimeters height by 28 millimeters depth
• Weight: 1125 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Building extraction from remote sensing data plays an important role in urban planning, disaster management, navigation, updating geographic databases, and several other geospatial applications. Even though significant research has been carried out for more than two decades, the success of automatic building extraction and modeling is still largely impeded by scene complexity, incomplete cue extraction, and sensor dependency of data. Most recently, deep neural networks (DNN) have been widely applied for high classification accuracy in various areas including land-cover and land-use classification. Therefore, intelligent and innovative algorithms are needed for the success of automatic building extraction and modeling. This Special Issue focuses on newly developed methods for classification and feature extraction from remote sensing data for automatic building extraction and 3D