A Framework Integrating DeeplabV3+, Transfer Learning, Active Learning, and Incremental Learning for Mapping Building Footprints

A Framework Integrating DeeplabV3+, Transfer Learning, Active Learning, and Incremental Learning for Mapping Building Footprints

Convolutional neural network (CNN)-based remote sensing (RS) image segmentation has become a widely used method for building footprint mapping. Recently, DeeplabV3+, an advanced CNN architecture, has shown satisfactory performance for building extraction in different urban landscapes. However, it fa...

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Bibliographic Details
Main Authors: Zhichao Li, Jinwei Dong
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Remote Sensing
Subjects:
building footprint mapping
DeepLabV3+
active learning
incremental learning
transfer learning
Online Access:https://www.mdpi.com/2072-4292/14/19/4738

Internet

https://www.mdpi.com/2072-4292/14/19/4738

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