Remote Sensing Based Building Extraction II

Building extraction from remote sensing data plays an important role in geospatial applications such as urban planning, disaster management, navigation, and updating geographic databases. The rapid development of image processing techniques and the accessibility of very-high-resolution multispectral...

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Bibliografske podrobnosti
Format:	Online
Jezik:	angleščina
Izdano:	MDPI - Multidisciplinary Digital Publishing Institute 2023
Teme:	building extraction high-resolution remote-sensing image semantic edge detection semantic segmentation building footprint map vectorization convolutional neural network airborne LiDAR graph segmentation object primitive geometric feature road extraction high-resolution image hyperspectral image synthetic aperture radar (SAR) light detection and ranging (LiDAR) farmland range attention enhancement U-Net network improvement multi-source remote sensing image building model reconstruction half-space LiDAR data urban scale interactive segmentation network deep learning iterative training remote sensing images spatial attention global information awareness cross level information fusion dense matching convolutional neural networks end-to-end pyramid architecture building reconstruction LiDAR point clouds integer programming airborne Earth observation ultrahigh spatial resolution instance segmentation fully convolutional neural networks roofscape remote sensing building extraction building photovoltaic self-supervised learning n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
Online dostop:	ONIX_20230511_9783036570648_140
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Remote Sensing Based Building Extraction II

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