Multimodal Semantic Segmentation in Yangtze River Economic Belt: Outcome of the 2024 IEEE WHISPERS MMSeg-YREB Challenge

Multimodal Semantic Segmentation in Yangtze River Economic Belt: Outcome of the 2024 IEEE WHISPERS MMSeg-YREB Challenge

With the growing availability of remote sensing (RS) data from diverse platforms, multimodal RS techniques have emerged as a transformative solution for large-scale semantic segmentation. In response, we developed MMSeg-YREB, a specialized framework that integrates complementary RS modalities, such...

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Bibliographic Details
Main Authors: Jiepan Li, He Huang, Yu Xia, Xian Xu, Yingxin Wu, Qi Guo, Yinhe Liu, Yanfei Zhong, Jeongho Min, Sungbin Son, Hyeonjin Kim, Jaejun Yoo, Gemine Vivone, Chenyu Li, Wei He, Renwei Dian, Hao Liu, Haipeng Wang, Kan Wei, A. K. Qin, Naoto Yokoya, Shutao Li, Jocelyn Chanussot, Danfeng Hong
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Artificial intelligence (AI)
benchmark
challenge
deep learning
land cover
large scale
Online Access:https://ieeexplore.ieee.org/document/11052626/
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