All Stories

  1. CA-MTransUNet: Cloud-Aware Mixture-of-Experts Linear Transformer U-Net for forest burned area (FBA) mapping using Sentinel-1 and Sentinel-2 images
  2. MixerCA: An efficient and accurate model for high-performance hyperspectral image classification
  3. ConvAttentionNet: a high-performance model for efficient and accurate PolSAR data classification
  4. ViCxLSTM: An extended Long Short-term Memory vision transformer for complex remote sensing scene classification
  5. A generative framework for detection and classification of plant leaf disease using diffusion network
  6. Exploring the concept of digital twins of wetlands for supporting ecosystem monitoring and management
  7. High-resolution UAV-based blueberry scorch virus mapping utilizing a deep vision transformer algorithm
  8. SimPoolFormer: A two-stream vision transformer for hyperspectral image classification
  9. MSHCCT: A Multiscale Compact Convolutional Network for High-Resolution Aerial Scene Classification
  10. MixerSENet: A Lightweight Framework for Efficient Hyperspectral Image Classification
  11. High-resolution mapping of Blueberry scorch virus incidence using RGB and multispectral UAV images and deep learning
  12. How to Learn More? Exploring Kolmogorov–Arnold Networks for Hyperspectral Image Classification
  13. e-TransUNet: TransUNet provides a strong spatial transformation for precise deforestation mapping
  14. Residual wave vision U-Net for flood mapping using dual polarization Sentinel-1 SAR imagery
  15. Attention Graph Convolutional Network for Disjoint Hyperspectral Image Classification
  16. Cross Hyperspectral and LiDAR Attention Transformer: An Extended Self-Attention for Land Use and Land Cover Classification
  17. Neighborhood Attention Makes the Encoder of ResUNet Stronger for Accurate Road Extraction
  18. SSL-SoilNet: A Hybrid Transformer-Based Framework With Self-Supervised Learning for Large-Scale Soil Organic Carbon Prediction
  19. Spatial-Gated Multilayer Perceptron for Land Use and Land Cover Mapping
  20. TransU-Net++: Rethinking attention gated TransU-Net for deforestation mapping
  21. WetMapFormer: A unified deep CNN and vision transformer for complex wetland mapping
  22. HYPERSPECTRAL IMAGE CLASSIFICATION USING MULTI-LAYER PERCEPTRON MIXER (MLP-MIXER)
  23. Local Window Attention Transformer for Polarimetric SAR Image Classification
  24. 3DUNetGSFormer: A deep learning pipeline for complex wetland mapping using generative adversarial networks and Swin transformer
  25. A deep learning framework based on generative adversarial networks and vision transformer for complex wetland classification using limited training samples
  26. Investigation of meteorological drought characteristics of the great man-made river region: a case study of drought in Libya
  27. Wetland Classification with Swin Transformer Using Sentinel-1 and Sentinel-2 Data
  28. Swin Transformer and Deep Convolutional Neural Networks for Coastal Wetland Classification Using Sentinel-1, Sentinel-2, and LiDAR Data
  29. Swin Transformer for Complex Coastal Wetland Classification Using the Integration of Sentinel-1 and Sentinel-2 Imagery
  30. Investigation of Meteorological Drought Characteristics of the Great Man-Made River Region (Libya)
  31. PolSAR Image Classification Based on Deep Convolutional Neural Networks Using Wavelet Transformation
  32. Land Use Land Cover Mapping in Support of Land Degradation Mapping Using Tree-Based Classifiers
  33. 3-D Hybrid CNN Combined With 3-D Generative Adversarial Network for Wetland Classification With Limited Training Data
  34. A COMPARISON OF TREE-BASED ALGORITHMS FOR COMPLEX WETLAND CLASSIFICATION USING THE GOOGLE EARTH ENGINE
  35. A Synergic Use of Sentinel-1 and Sentinel-2 Imagery for Complex Wetland Classification Using Generative Adversarial Network (GAN) Scheme
  36. Improving land use land cover mapping of a neural network with three optimizers of multi-verse optimizer, genetic algorithm, and derivative-free function
  37. Deep Forest classifier for wetland mapping using the combination of Sentinel-1 and Sentinel-2 data
  38. A Cloud-Based Framework for Large-Scale Monitoring of Ocean Plastics Using Multi-Spectral Satellite Imagery and Generative Adversarial Network
  39. Comparing Solo Versus Ensemble Convolutional Neural Networks for Wetland Classification Using Multi-Spectral Satellite Imagery
  40. Wetland Mapping Using Multi-Spectral Satellite Imagery and Deep Convolutional Neural Networks: A Case Study in Newfoundland and Labrador, Canada
  41. Land use land cover mapping using advanced machine learning classifiers: A case study of Shiraz city, Iran
  42. Landslide hazard risk modeling in north-west of Iran using optimized machine learning models
  43. Land use land cover modeling using optimized machine learning classifiers: a case study of Shiraz, Iran
  44. Evaluation of tree-base data mining algorithms in land used/land cover mapping in a semi-arid environment through Landsat 8 OLI image; Shiraz, Iran
  45. Evaluation and comparison of eight machine learning models in land use/land cover mapping using Landsat 8 OLI: a case study of the northern region of Iran
  46. AUTOMATED EXTRACTION OF BUILDINGS FROM AERIAL LIDAR POINT CLOUDS AND DIGITAL IMAGING DATASETS
  47. EVALUATION OF ADVANCED DATA MINING ALGORITHMS IN LAND USE/LAND COVER MAPPING
  48. FLOOD MAPPING USING SYNTHETIC APERTURE RADAR: A CASE STUDY OF RAMSAR FLASH FLOOD
  49. SENTINEL-1 IMAGE CLASSIFICATION FOR CITY EXTRACTION BASED ON THE SUPPORT VECTOR MACHINE AND RANDOM FOREST ALGORITHMS
  50. A FIT-FOR-PURPOSE ALGORITHM FOR ENVIRONMENTAL MONITORING BASED ON MAXIMUM LIKELIHOOD, SUPPORT VECTOR MACHINE AND RANDOM FOREST
  51. UNIFIED TOPOLOGICAL FRAMEWORK FOR RETRIEVING 2D AND 3D MULTI-SCALE SPATIAL INFORMATION
  52. TOPOLOGICAL 3D ELEVATION DATA INTERPOLATION OF ASTER GDEM BASED ON CONTINUOUS DEFORMATION
  53. Homotopy-based 3D indoor building reconstruction
  54. A COMPARISON OF ARTIFICIAL NEURAL NETWORK AND HOMOTOPY CONTINUATION IN 3D INTERIOR BUILDING MODELLING
  55. 3D Indoor Building Environment Reconstruction using Least Square Adjustment, Polynomial Kernel, Interval Analysis and Homotopy Continuation
  56. A Hybrid 3D Indoor Space Model
  57. 3D TOPOLOGICAL INDOOR BUILDING MODELING INTEGRATED WITH OPEN STREET MAP
  58. 3D INDOOR BUILDING ENVIRONMENT RECONSTRUCTION USING CALIBRATION OF RANGEFINDER DATA
  59. AN AUTOMATED 3D INDOOR TOPOLOGICAL NAVIGATION NETWORK MODELLING
  60. An automated 3D modeling of topological indoor navigation network
  61. Rapid Indoor Data Acquisition Technique for Indoor Building Surveying for Cadastre Application
  62. RAPID INDOOR DATA ACQUISITION FOR LADM-BASED 3D CADASTRE MODEL