Remote Sensing based Building Extraction / / Mohammad Awrangjeb [and three others].
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...
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|---|---|
| Place / Publishing House: | [Place of publication not identified] : : MDPI - Multidisciplinary Digital Publishing Institute,, 2020. |
| Year of Publication: | 2020 |
| Language: | English |
| Physical Description: | 1 online resource (442 pages) |
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Awrangjeb, Mohammad, author. Remote Sensing based Building Extraction / Mohammad Awrangjeb [and three others]. [Place of publication not identified] : MDPI - Multidisciplinary Digital Publishing Institute, 2020. 1 online resource (442 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Description based on: online resource; title from PDF information screen (Worldcat, viewed June 27 2023). 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. Remote sensing. 3-03928-382-0 |
| language |
English |
| format |
eBook |
| author |
Awrangjeb, Mohammad, |
| spellingShingle |
Awrangjeb, Mohammad, Remote Sensing based Building Extraction / |
| author_facet |
Awrangjeb, Mohammad, |
| author_variant |
m a ma |
| author_role |
VerfasserIn |
| author_sort |
Awrangjeb, Mohammad, |
| title |
Remote Sensing based Building Extraction / |
| title_full |
Remote Sensing based Building Extraction / Mohammad Awrangjeb [and three others]. |
| title_fullStr |
Remote Sensing based Building Extraction / Mohammad Awrangjeb [and three others]. |
| title_full_unstemmed |
Remote Sensing based Building Extraction / Mohammad Awrangjeb [and three others]. |
| title_auth |
Remote Sensing based Building Extraction / |
| title_new |
Remote Sensing based Building Extraction / |
| title_sort |
remote sensing based building extraction / |
| publisher |
MDPI - Multidisciplinary Digital Publishing Institute, |
| publishDate |
2020 |
| physical |
1 online resource (442 pages) |
| isbn |
3-03928-382-0 |
| callnumber-first |
G - Geography, Anthropology, Recreation |
| callnumber-subject |
G - General Geography |
| callnumber-label |
G70 |
| callnumber-sort |
G 270.4 A973 42020 |
| illustrated |
Not Illustrated |
| dewey-hundreds |
600 - Technology |
| dewey-tens |
620 - Engineering |
| dewey-ones |
621 - Applied physics |
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621.3678 |
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3621.3678 |
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621.3678 |
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621.3678 |
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Remote Sensing based Building Extraction / |
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