65 citations · 93 across the 15 of their papers we have counts for
16 papers
Interpretation-Oriented Cloud Removal via Observation-Anchored Residual Flow with Geo-Contextual Alignment
Ziyao Wang, Maonan Wang, Yucheng He +5
Cloud removal (CR) is essential for optical remote sensing, serving as a prerequisite for reliable downstream interpretation, such as semantic segmentation and change detection. Ho…
Text-RSIR: A Text-Guided Framework for Efficient Remote Sensing Image Transmission and Reconstruction
Hao Yang, Xianping Ma, Peifeng Ma +1
High-resolution remote sensing imagery is critical for environmental monitoring, urban mapping, and land cover analysis, but its transmission is often hindered by limited bandwidth…
MPerS: Dynamic MLLM MixExperts Perception-Guided Remote Sensing Scene Segmentation
Ziyi Wang, Xianping Ma, Ziyao Wang +2
The multimodal fusion of images and scene captions has been extensively explored and applied in various fields. However, when dealing with complex remote sensing (RS) scenes, exist…
Open-Vocabulary Semantic Segmentation Network Integrating Object-Level Label and Scene-Level Semantic Features for Multimodal Remote Sensing Images
Jinkun Dai, Yuanxin Ye, Peng Tang +4
Semantic segmentation of multi-modal remote sensing imagery plays a pivotal role in land use/land cover (LULC) mapping, environmental monitoring, and precision earth observation. C…
Geo2Sound: A Scalable Geo-Aligned Framework for Soundscape Generation from Satellite Imagery
Kunlin Wu, Yanning Wang, Haofeng Tan +6
Recent image-to-audio models have shown impressive performance on object-centric visual scenes. However, their application to satellite imagery remains limited by the complex, wide…
EuroMineNet: A Multitemporal Sentinel-2 Benchmark for Spatiotemporal Mining Footprint Analysis in the European Union (2015-2024)
Weikang Yu, Vincent Nwazelibe, Xianping Ma +4
Mining activities are essential for industrial and economic development, but remain a leading source of environmental degradation, contributing to deforestation, soil erosion, and…
Kolmogorov-Arnold Network for Remote Sensing Image Semantic Segmentation
Xianping Ma, Ziyao Wang, Yin Hu +2
Semantic segmentation plays a crucial role in remote sensing applications, where the accurate extraction and representation of features are essential for high-quality results. Desp…
Auto-Prompting SAM for Weakly Supervised Landslide Extraction
Jian Wang, Xiaokang Zhang, Xianping Ma +2
Weakly supervised landslide extraction aims to identify landslide regions from remote sensing data using models trained with weak labels, particularly image-level labels. However,…
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…
SAM-Assisted Remote Sensing Imagery Semantic Segmentation with Object and Boundary Constraints
Xianping Ma, Qianqian Wu, Xingyu Zhao +3
Semantic segmentation of remote sensing imagery plays a pivotal role in extracting precise information for diverse down-stream applications. Recent development of the Segment Anyth…
GCD-DDPM: A Generative Change Detection Model Based on Difference-Feature Guided DDPM
Yihan Wen, Xianping Ma, Xiaokang Zhang +1
Deep learning (DL)-based methods have recently shown great promise in bitemporal change detection (CD). Existing discriminative methods based on Convolutional Neural Networks (CNNs…