Adversarial Shape Learning for Building Extraction in VHR Remote Sensing Images
Building extraction in VHR RSIs remains a challenging task due to occlusion and boundary ambiguity problems. Although conventional convolutional neural networks (CNNs) based methods are capable of exploiting local texture and context information, they fail to capture the shape patterns of buildings,...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 16., Seite 678-690
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| 1. Verfasser: |
Ding, Lei
(VerfasserIn) |
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| Weitere Verfasser: |
Tang, Hao,
Liu, Yahui,
Shi, Yilei,
Zhu, Xiao Xiang,
Bruzzone, Lorenzo |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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