Building Type Classification Using CNN-Transformer Cross-Encoder Adaptive Learning From Very High Resolution Satellite Images

Building Type Classification Using CNN-Transformer Cross-Encoder Adaptive Learning From Very High Resolution Satellite Images

Building type information indicates the functional properties of buildings and plays a crucial role in smart city development and urban socioeconomic activities. Existing methods for classifying building types often face challenges in accurately distinguishing buildings between types while maintaini...

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Bibliographic Details
Main Authors: Shaofeng Zhang, Mengmeng Li, Wufan Zhao, Xiaoqin Wang, Qunyong Wu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Building type classification
CNN-transformer networks
cross-encoder
feature interaction
very high resolution remote sensing
Online Access:https://ieeexplore.ieee.org/document/10756709/
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