Buch, Englisch, Format (B × H): 155 mm x 235 mm
Third Interdisciplinary Forum on Artificial Intelligence and Remote Sensing, AIRS 2026, Changsha, China, May 15–17, 2026, Proceedings, Part I
Buch, Englisch, Format (B × H): 155 mm x 235 mm
Reihe: Communications in Computer and Information Science
ISBN: 978-981-9280-54-4
Verlag: Springer
This book constitutes the refereed proceedings of the Third Interdisciplinary Forum on Artificial Intelligence and Remote Sensing on Artificial Intelligence and Remote Sensing, AIRS 2026, held in Changsha, China, during May 15–17, 2026.
The 69 full papers and 27 short papers included in this book were carefully reviewed and selected from 239 submissions. They were organized in topical sections as follows:
Part I: AIRS for Data Processing and Fusion; AIRS for Agriculture; AIRS for Forestry and Vegetation; AIRS for Hydrology and Water Resources; AIRS for Ocean and Marine Environments.
Part II: AIRS for Environment and Ecology; AIRS for Land Resources and Territorial Management; AIRS for Classification and Change Detection; AIRS for Urban and Built Environments; AIRS for Cross-Disciplinary Research.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
.- AIRS for Data Processing and Fusion. .- A Lightweight Onboard Decision Framework for Remote Sensing Data Fidelity Assurance. .- Self-Supervised DINOv3 Feature Alignment for Robust Hyperspectral Image Registration. .- M3Net: Multi-view Mixed Mamba for Dual-Camera Compressive Hyperspectral Reconstruction. .- Structured Spectral-Spatial U-CvT for Panchromatic and Hyperspectral Fusion Classification. .- CM-DCN: Cross-Modal Deformable Convolutional Network for LiDAR-Guided Hyperspectral Image Classification. .- LOCPR: LiDAR-Omnidirectional Camera Fusion based Place Recognition Neural Network in Robot Localization. .- Neural Signed Distance Field-Assisted Dual-Branch Initialization for LiDAR-Image 3D Gaussian Splatting. .- Reconstruction of Land Surface Temperature Based on EATC Constraints and Spatially Adaptive Residual Correction: A Case Study of the Three-Rivers Headwater Region. .- Hyperspectral Unmixing via Deep Nonnegative Matrix Factorization Driven by Endmembers and Abundances. .- Heterogeneous-Prior Mixture-of-Experts for Hyperspectral and Multispectral Image Fusion. .- Spatial Gap-Filling of Himawari-8 hourly Aerosol Optical Depth Full-disk Products: A Deep Neural Network Approach Leveraging Multi-Source Spatio-Temporal Features. .- AIRS for Agriculture. .- A Method for Instance Segmentation and 3D Model Reconstruction of Flue-Cured Tobacco Plants from Point Cloud. .- A Transformer-Based Approach for Individual Tree Segmentation: A Case Study with the SZUTreeData 2.0 Dataset. .- NSII-Based Mapping of Soybean Distribution and Spatiotemporal Planting Pattern Changes in Northeast China. .- LSANet: A Lightweight Spatial-Aware Network for Multiple Wheat Disease Detection. .- Identification of tea cultivars from UAVhyperspectral images using SpectralGPT. .- Physics-Informed Augmentation-driven Conditional GAN for Aquacultural Low-light Image Restoration. .- Remote Sensing Inversion of Biochemical Parameters of Winter Wheat Based on Vegetation Index Clustering Screening. .- ResAM-Unet for High-Accuracy Classification of Coastal Wetland Vegetation in the Yellow River Estuary. .- AIRS for Forestry and Vegetation. .- DGIM: A Distributed Geographic Intelligence Model for High-Resolution Tree cover Change Mapping. .- Forest Canopy Height Estimation by Integrating ICESat-2 and Sentinel-1/2 Data Based on Deep Learning Method. .- UAV Imagery-Based Lightweight Detection and Zero-Shot Segmentation of Pine Wilt Disease-Infected Trees. .- Identifying Spatial Patterns of Forest Expansion Using a Multi-Order Adjacency Index in the Karst Peak-Cluster Depression Region. .- A Parallel Spatial-Temporal Savitzky-Golay Method for Reconstructing EVI2 Time Series by Integrating Inter-annual Variations with High Performance. .- Nonlinear and Spatially Heterogeneous Green Space Cooling on Local Climate Zone-Based Urban Heat Islands: A Multi-Model Investigation. .- SSF-T: A Multi-View Global Perception Network With Frequency-Enhanced Spatial-Spectral-Frequency Transformer for Hyperspectral Image Classification. .- HySPAMamba: Differential Spectral-Spatial Mamba with Perturbation-Enhanced Augmentation for Hyperspectral Image Classification. .- AIRS for Hydrology and Water Resources. .- A Comparative Study of Multi-Spectral Remote Sensing Image Classification Based on Multiple Deep Learning Models. .- GT-Net: A Graph-Transformer Network for High-Resolution Optical Remote Sensing Change Detection. .- A Lightweight Cloud Detection Network Using Extremely Efficient Spatial Pyramid and Haze-Optimized Transformation Index. .- Extraction of lake ice phenology based on MODIS cloud removal algorithm - Lake Baikal as an example. .- A Systematic Evaluation of Weakly Supervised Sentinel-1 SAR Flood Mapping: Model Comparison, Threshold Calibration, and Cross-Domain Generalization. .- A SINC Model-Based Snow Depth Inversion Method Based on Snow Scattering Characteristics. .- Reconstructing Snow Cover under Clouds Based on Sentinel-1/2 and RESTORE-DiT Model in Mountainous Areas. .- From Water Usage to Vacancy: A Data-Driven Approach to Community-Scale Residential Vacancy Estimation. .- A Soil Moisture Downscaling Method Based on Machine Learning and GNNWR Model. .- AIRS for Ocean and Marine Environments. .- Manifestation of Marine Mucilage in SAR Imagery. .- Resilience comparison of maritime transportation networks along the maritime silk road using AIS data. .- An improved U-Net deep learning model for aquaculture facilities from remote sensing images. .- Construction of the marine investigation and monitoring system under the unified natural resources investigation and monitoring framework. .- Dynamic Assessment of Maritime Search and Rescue Accessibility in the South China Sea Based on an Improved Speed Correction Model. .- Research and Application of Chinese Domestic Satel-lites in Remote Sensing Monitoring of Red Tides. .- Precipitation Nowcasting Method Integrating Infrared Spectral Images and Atmospheric Vertical Profiles. .- Uncertainty Quantification and Reliability Assessment of Multitask Sea Ice Segmentation from SAR Imagery and Multi-source Data. .- Bathymetry Inversion of the South China Sea from Satellite Altimetry-Derived Data Using a Deep Residual Neural Network.
