| Naslov: | Tilt correction toward building detection of remote sensing images |
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| Avtorji: | ID Liu, Kang (Avtor)
ID Jiang, Zhiyu (Avtor)
ID Xu, Mingliang (Avtor)
ID Perc, Matjaž (Avtor)
ID Li, Xuelong (Avtor) |
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| Datoteke: |  Liu-2021-Tilt_Correction_Toward_Building_Detec.pdf (8,62 MB)
MD5: D5F7D17CB050F91939E00D053E4F1688
 https://doi.org/10.1109/JSTARS.2021.3083481
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| Jezik: | Angleški jezik |
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| Vrsta gradiva: | Znanstveno delo |
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| Tipologija: | 1.01 - Izvirni znanstveni članek |
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| Organizacija: | FNM - Fakulteta za naravoslovje in matematiko
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| Opis: | Building detection is a crucial task in the field of remote sensing, which can facilitate urban construction planning, disaster survey, and emergency landing. However, for large-size remote sensing images, the great majority of existing works have ignored the image tilt problem. This problem can result in partitioning buildings into separately oblique parts when the large-size images are partitioned. This is not beneficial to preserve semantic completeness of the building objects. Motivated by the above fact, we first propose a framework for detecting objects in a large-size image, particularly for building detection. The framework mainly consists of two phases. In the first phase, we particularly propose a tilt correction (TC) algorithm, which contains three steps: texture mapping, tilt angle assessment, and image rotation. In the second phase, building detection is performed with object detectors, especially deep-neural-network-based methods. Last but not least, the detection results will be inversely mapped to the original large-size image. Furthermore, a challenging dataset named Aerial Image Building Detection is contributed for the public research. To evaluate the TC method, we also define an evaluation metric to compute the cost of building partition. The experimental results demonstrate the effects of the proposed method for building detection. |
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| Ključne besede: | building detection, cost of building partition, deep neural network, remote sensing, tilt correction |
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| Status publikacije: | Objavljeno |
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| Verzija publikacije: | Objavljena publikacija |
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| Poslano v recenzijo: | 16.03.2021 |
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| Datum sprejetja članka: | 21.05.2021 |
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| Datum objave: | 25.05.2021 |
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| Založnik: | Institute of Electrical and Electronics Engineers |
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| Leto izida: | 2021 |
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| Št. strani: | Str. 5854-5866 |
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| Številčenje: | Letn. 14 |
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| PID: | 20.500.12556/DKUM-90828  |
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| UDK: | 53 |
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| COBISS.SI-ID: | 67635971 |
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| DOI: | 10.1109/JSTARS.2021.3083481 |
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| ISSN pri članku: | 1939-1404 |
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| Datum objave v DKUM: | 26.09.2024 |
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| Število ogledov: | 0 |
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| Število prenosov: | 1 |
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| Metapodatki: |    |
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| Področja: | Ostalo
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