Hgdnet: A Height-Hierarchy Guided Dual-Decoder Network for Single View Building Extraction and Height Estimation

Author:

Lu Chaoran1,Cao Ningning1,Zhang Pan1,Liu Ting1,Peng Baochai1,Liu Guozhang1,Yuan Mengke1,Zhang Sen1,Huang Simin1,Wang Tao1

Affiliation:

1. PIESAT Information Technology Co, Ltd.,Beijing,China

Publisher

IEEE

Reference11 articles.

1. Beit v2: Masked image modeling with vector-quantized visual tokenizers;peng,2022

2. Convnext v2: Co-designing and scaling convnets with masked autoen-coders;woo,2023

3. Weighted boxes fusion: Ensembling boxes from different object detection models

4. Sce-net: Self-and cross-enhancement network for single-view height estimation and semantic segmentation;xing;Remote Sensing,2022

5. Pop-Net: Encoder-Dual Decoder for Semantic Segmentation and Single-View Height Estimation

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3. Large-Scale Fine-Grained Building Classification and Height Estimation for Semantic Urban Reconstruction: Outcome of the 2023 IEEE GRSS Data Fusion Contest;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

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