1.7k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN81 papers
- University of Chinese Academy of SciencesCN44 papers
- Centre National de la Recherche ScientifiqueFR12 papers
- Institut polytechnique de GrenobleFR12 papers
- Université Grenoble AlpesFR12 papers
- GIPSA-LabFR8 papers
- Laboratoire Jean KuntzmannFR6 papers
- Xi'an Jiaotong UniversityCN6 papers
- Chongqing UniversityCN5 papers
- Institut national de recherche en sciences et technologies du numériqueFR5 papers
- International Research Center of Big Data for Sustainable Development GoalsCN5 papers
- Tsinghua UniversityCN5 papers
14 papers · 1 filter
Multisource Collaborative Domain Generalization for Cross-Scene Remote Sensing Image Classification
Zhu Han, Ce Zhang, Lianru Gao +4
Cross-scene image classification aims to transfer prior knowledge of ground materials to annotate regions with different distributions and reduce hand-crafted cost in the field of…
Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification
Zhu Han, Jin Yang, Lianru Gao +3
Deep learning (DL) has been widely applied into hyperspectral image (HSI) classification owing to its promising feature learning and representation capabilities. However, limited b…
Mask Approximation Net: A Novel Diffusion Model Approach for Remote Sensing Change Captioning
Dongwei Sun, Jing Yao, Wu Xue +3
Remote sensing image change description represents an innovative multimodal task within the realm of remote sensing processing.This task not only facilitates the detection of alter…
ARSGaussian: 3D Gaussian Splatting with LiDAR for Aerial Remote Sensing Novel View Synthesis
Yiling Yao, Bing Zhang, Wenjuan Zhang +5
Novel View Synthesis (NVS) can reconstruct scenes from multi-view images and synthesize novel images from new viewpoints, which provides technical support for tasks such as target…
Molecular Graph Representation Learning via Structural Similarity Information
Chengyu Yao, Hong Huang, Hang Gao +3
Graph Neural Networks (GNNs) have been widely employed for feature representation learning in molecular graphs. Therefore, it is crucial to enhance the expressiveness of feature re…
UNetMamba: An Efficient UNet-Like Mamba for Semantic Segmentation of High-Resolution Remote Sensing Images
Enze Zhu, Zhan Chen, Dingkai Wang +3
Semantic segmentation of high-resolution remote sensing images is vital in downstream applications such as land-cover mapping, urban planning and disaster assessment.Existing Trans…
Spatial and Spatial-Spectral Morphological Mamba for Hyperspectral Image Classification
Muhammad Ahmad, Muhammad Hassaan Farooq Butt, Adil Mehmood Khan +6
Recent advancements in transformers, specifically self-attention mechanisms, have significantly improved hyperspectral image (HSI) classification. However, these models often suffe…
SpectralKAN: Weighted Activation Distribution Kolmogorov-Arnold Network for Hyperspectral Image Change Detection
Yanheng Wang, Xiaohan Yu, Yongsheng Gao +6
Kolmogorov-Arnold networks (KANs) represent data features by learning the activation functions and demonstrate superior accuracy with fewer parameters, FLOPs, GPU memory usage (Mem…
Generating grid maps via the snake model
Zhiwei Wei, Nai Yang, Wenjia Xu +1
The grid map, often referred to as the tile map, stands as a vital tool in geospatial visualization, possessing unique attributes that differentiate it from more commonly known tec…
Superpixelwise Low-rank Approximation based Partial Label Learning for Hyperspectral Image Classification
Shujun Yang, Yu Zhang, Yao Ding +1
Insufficient prior knowledge of a captured hyperspectral image (HSI) scene may lead the experts or the automatic labeling systems to offer incorrect labels or ambiguous labels (i.e…
Research on the Spatial Data Intelligent Foundation Model
Shaohua Wang, Xing Xie, Yong Li +28
This report focuses on spatial data intelligent large models, delving into the principles, methods, and cutting-edge applications of these models. It provides an in-depth discussio…
A Comprehensive Survey for Hyperspectral Image Classification: The Evolution from Conventional to Transformers and Mamba Models
Muhammad Ahmad, Salvatore Distifano, Adil Mehmood Khan +7
Hyperspectral Image Classification (HSC) presents significant challenges owing to the high dimensionality and intricate nature of Hyperspectral (HS) data. While traditional Machine…
SFTformer: A Spatial-Frequency-Temporal Correlation-Decoupling Transformer for Radar Echo Extrapolation
Liangyu Xu, Wanxuan Lu, Hongfeng Yu +3
Extrapolating future weather radar echoes from past observations is a complex task vital for precipitation nowcasting. The spatial morphology and temporal evolution of radar echoes…
Deep Semantic-Visual Alignment for Zero-Shot Remote Sensing Image Scene Classification
Wenjia Xu, Jiuniu Wang, Zhiwei Wei +2
Deep neural networks have achieved promising progress in remote sensing (RS) image classification, for which the training process requires abundant samples for each class. However,…