65 citations · 93 across the 15 of their papers we have counts for
6 papers · 1 filter
A Unified Framework with Multimodal Fine-tuning for Remote Sensing Semantic Segmentation
Xianping Ma, Xiaokang Zhang, Man-On Pun +1
Multimodal remote sensing data, acquired from diverse sensors, offer a comprehensive and integrated perspective of the Earth's surface. Leveraging multimodal fusion techniques, sem…
PPMamba: A Pyramid Pooling Local Auxiliary SSM-Based Model for Remote Sensing Image Semantic Segmentation
Yin Hu, Xianping Ma, Jialu Sui +1
Semantic segmentation is a vital task in the field of remote sensing (RS). However, conventional convolutional neural network (CNN) and transformer-based models face limitations in…
RS3Mamba: Visual State Space Model for Remote Sensing Images Semantic Segmentation
Xianping Ma, Xiaokang Zhang, Man-On Pun
Semantic segmentation of remote sensing images is a fundamental task in geoscience research. However, there are some significant shortcomings for the widely used convolutional neur…
Decomposition-based Unsupervised Domain Adaptation for Remote Sensing Image Semantic Segmentation
Xianping Ma, Xiaokang Zhang, Xingchen Ding +2
Unsupervised domain adaptation (UDA) techniques are vital for semantic segmentation in geosciences, effectively utilizing remote sensing imagery across diverse domains. However, mo…
Adaptive Semantic-Enhanced Denoising Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution
Jialu Sui, Xianping Ma, Xiaokang Zhang +1
Remote sensing image super-resolution (SR) is a crucial task to restore high-resolution (HR) images from low-resolution (LR) observations. Recently, the Denoising Diffusion Probabi…
DF4LCZ: A SAM-Empowered Data Fusion Framework for Scene-Level Local Climate Zone Classification
Qianqian Wu, Xianping Ma, Jialu Sui +1
Recent advancements in remote sensing (RS) technologies have shown their potential in accurately classifying local climate zones (LCZs). However, traditional scene-level methods us…