Remote Sensing Image Semantic Segmentation Sample Generation Using a Decoupled Latent Diffusion Framework

Remote Sensing Image Semantic Segmentation Sample Generation Using a Decoupled Latent Diffusion Framework

This paper addresses the challenges of sample scarcity and class imbalance in remote sensing image semantic segmentation by proposing a decoupled synthetic sample generation framework based on a latent diffusion model. The method consists of two stages. In the label generation stage, we fine-tune a...

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Bibliographic Details
Main Authors: Yue Xu, Honghao Liu, Ruixia Yang, Zhengchao Chen
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Remote Sensing
Subjects:
remote sensing
semantic segmentation
sample synthesis
diffusion models
class imbalance
latent diffusion
Online Access:https://www.mdpi.com/2072-4292/17/13/2143
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