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Cnn Model In Remote Sensing
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CNN and Transformer Fusion for Remote Sensing Image Semantic Segmentation
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Hybrid CNN-LSTM Deep Learning for Track-Wise GNSS-R Ocean Wind Speed ...
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Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of ...
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P2FEViT: Plug-and-Play CNN Feature Embedded Hybrid Vision Transformer ...
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Convolutional Neural Network with Spatial-Variant Convolution Kernel
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CMNet: Global–Local Feature Fusion CNN-Mamba Network for Remote Sensing ...
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A New End-to-End Multi-Dimensional CNN Framework for Land Cover/Land ...
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Fusion of Multidimensional CNN and Handcrafted Features for Small ...
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Learning Low Dimensional Convolutional Neural Networks for High ...
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A Survey of Deep Learning-Based Human Activity Recognition in Radar
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High-Resolution Remote Sensing Image Classification Method Based on ...
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Different Spectral Domain Transformation for Land Cover Classification ...
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CNN and Transformer Fusion for Remote Sensing Image Semantic Segmentation
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CNN and Transformer Fusion for Remote Sensing Image Semantic Segmentation
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CMNet: Global–Local Feature Fusion CNN-Mamba Network for Remote Sensing ...
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Detecting Large-Scale Urban Land Cover Changes from Very High ...
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CNN and Transformer Fusion for Remote Sensing Image Semantic Segmentation
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CNN and Transformer Fusion for Remote Sensing Image Semantic Segmentation
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CNN and Transformer Fusion for Remote Sensing Image Semantic Segmentation
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A New End-to-End Multi-Dimensional CNN Framework for Land Cover/Land ...
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Hybrid CNN-LSTM Deep Learning for Track-Wise GNSS-R Ocean Wind Speed ...
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Suggestive Data Annotation for CNN-Based Building Footprint Mapping ...
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Hybrid CNN-LSTM Deep Learning for Track-Wise GNSS-R Ocean Wind Speed ...
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The Design of the 1D CNN–GRU Network Based on the RCS for ...
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Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network ...
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Hybrid CNN-LSTM Deep Learning for Track-Wise GNSS-R Ocean Wind Speed ...
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Detection of Banana Plants Using Multi-Temporal Multispectral UAV Imagery
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Geometric Recognition of Moving Objects in Monocular Rotating Imagery ...
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P2FEViT: Plug-and-Play CNN Feature Embedded Hybrid Vision Transformer ...
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Mask R-CNN Refitting Strategy for Plant Counting and Sizing in UAV Imagery
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U3-Road: A CNN and Transformer Multi-Level Nested Model for Road ...
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FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time ...
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Hybrid Ensemble Deep Learning-Based Approach for Time Series Energy ...
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Deep Learning and Machine Learning Models for Landslide Susceptibility ...
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TChange: A Hybrid Transformer-CNN Change Detection Network
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CMNet: Global–Local Feature Fusion CNN-Mamba Network for Remote Sensing ...
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A New End-to-End Multi-Dimensional CNN Framework for Land Cover/Land ...
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TChange: A Hybrid Transformer-CNN Change Detection Network
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CNN and Transformer Fusion for Remote Sensing Image Semantic Segmentation
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Large-Scale Oil Palm Tree Detection from High-Resolution Satellite ...
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CNN and Transformer Fusion for Remote Sensing Image Semantic Segmentation
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CMNet: Global–Local Feature Fusion CNN-Mamba Network for Remote Sensing ...
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A scSE-LinkNet Deep Learning Model for Daytime Sea Fog Detection
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CMNet: Global–Local Feature Fusion CNN-Mamba Network for Remote Sensing ...
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CNN and Transformer Fusion for Remote Sensing Image Semantic Segmentation
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The Design of the 1D CNN–GRU Network Based on the RCS for ...
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FERA-Net: A Building Change Detection Method for High-Resolution Remote ...
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HybriDet: A Hybrid Neural Network Combining CNN and Transformer for ...
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Depthwise Separable Convolution Neural Network for High-Speed SAR Ship ...
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Computer Vision Roadmap 🦝
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Crop Classification Based on GDSSM-CNN Using Multi-Temporal RADARSAT-2 ...
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CMNet: Global–Local Feature Fusion CNN-Mamba Network for Remote Sensing ...
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A Review of Hybrid Approaches for Quantitative Assessment of Crop ...
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Depthwise Separable Convolution Neural Network for High-Speed SAR Ship ...
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Accelerating 3D Convolutional Neural Network with Channel Bottleneck ...
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Grid Based Spherical CNN for Object Detection from Panoramic Images
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A Black Ice Detection Method Based on 1-Dimensional CNN Using mmWave ...
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TChange: A Hybrid Transformer-CNN Change Detection Network
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CNN and Transformer Fusion for Remote Sensing Image Semantic Segmentation
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LSTMConvSR: Joint Long–Short-Range Modeling via LSTM-First–CNN-Next ...
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MS-Faster R-CNN: Multi-Stream Backbone for Improved Faster R-CNN Object ...
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Large-Scale Oil Palm Tree Detection from High-Resolution Satellite ...
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Evaluation of Decision Fusions for Classifying Karst Wetland Vegetation ...
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Geometric Recognition of Moving Objects in Monocular Rotating Imagery ...
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Different Spectral Domain Transformation for Land Cover Classification ...
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Detecting Large-Scale Urban Land Cover Changes from Very High ...
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Remote Sensing | Special Issue : Machine Learning and GeoAI for Remote ...
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A New End-to-End Multi-Dimensional CNN Framework for Land Cover/Land ...
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An End-to-End Hyperspectral Scene Simulator with Alternate Adjacency ...
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A New End-to-End Multi-Dimensional CNN Framework for Land Cover/Land ...
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Geometric Recognition of Moving Objects in Monocular Rotating Imagery ...
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TransHSI: A Hybrid CNN-Transformer Method for Disjoint Sample-Based ...
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Deep Learning Application for Classification of Ionospheric Height ...
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CMNet: Global–Local Feature Fusion CNN-Mamba Network for Remote Sensing ...
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A Survey of Deep Learning-Based Human Activity Recognition in Radar
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A Physics-Driven CNN Model for Real-Time Sea Waves 3D Reconstruction
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A Study of CNN and Transfer Learning in Medical Imaging: Advantages ...
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CNN and Transformer Fusion for Remote Sensing Image Semantic Segmentation
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Improved Method to Detect the Tailings Ponds from Multispectral Remote ...
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Classification of Compressed Remote Sensing Multispectral Images via ...
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High-Resolution Remote Sensing Image Classification Method Based on ...
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Segment-before-Detect: Vehicle Detection and Classification through ...
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A Review of Deep-Learning Methods for Change Detection in Multispectral ...
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CMNet: Global–Local Feature Fusion CNN-Mamba Network for Remote Sensing ...
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Employing a Multi-Input Deep Convolutional Neural Network to Derive ...
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Depthwise Separable Convolution Neural Network for High-Speed SAR Ship ...
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Depthwise Separable Convolution Neural Network for High-Speed SAR Ship ...
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Geometric Recognition of Moving Objects in Monocular Rotating Imagery ...
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Improved Method to Detect the Tailings Ponds from Multispectral Remote ...
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Identification of Rare Wildlife in the Field Environment Based on the ...
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Computer vision – What Is It and Why Does It Matter?
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Localizing SDG 11.6.2 via Earth Observation, Modelling Applications ...
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Employing a Multi-Input Deep Convolutional Neural Network to Derive ...
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Object Detection with Low Capacity GPU Systems Using Improved Faster R-CNN
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Object Detection Based on Faster R-CNN Algorithm with Skip Pooling and ...
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Comparative Research on Deep Learning Approaches for Airplane Detection ...
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PDAA: An End-to-End Polygon Dynamic Adjustment Algorithm for Building ...
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Depthwise Separable Convolution Neural Network for High-Speed SAR Ship ...
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Individualized Stress Mobile Sensing Using Self-Supervised Pre-Training
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A Black Ice Detection Method Based on 1-Dimensional CNN Using mmWave ...
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Anisotropic Green Tide Patch Information Extraction Based on Deformable ...
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A Lightweight Remote-Sensing Image-Change Detection Algorithm Based on ...
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A New End-to-End Multi-Dimensional CNN Framework for Land Cover/Land ...
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End-to-End Neural Interpolation of Satellite-Derived Sea Surface ...
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Different Spectral Domain Transformation for Land Cover Classification ...
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Implementation of a Modified Faster R-CNN for Target Detection ...
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Geometric Recognition of Moving Objects in Monocular Rotating Imagery ...
mdpi.com
A New End-to-End Multi-Dimensional CNN Framework for Land Cover/Land ...
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CNN and Transformer Fusion for Remote Sensing Image Semantic Segmentation
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Object Detection and Image Segmentation with Deep Learning on Earth ...
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Robust Face Recognition Using the Deep C2D-CNN Model Based on Decision ...
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Detecting Large-Scale Urban Land Cover Changes from Very High ...
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Improved Method to Detect the Tailings Ponds from Multispectral Remote ...
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A Self-Adaptive 1D Convolutional Neural Network for Flight-State ...
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Advances and Challenges in Deep Learning-Based Change Detection for ...
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Object-Scale Adaptive CNN for High-Resolution Remote Sensing - Studocu
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Multi-View Image Denoising Using Convolutional Neural Network
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Remote Sensing | Special Issue : Intelligent Remote Sensing Data ...
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Evaluation of Decision Fusions for Classifying Karst Wetland Vegetation ...
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A Review of Deep-Learning Methods for Change Detection in Multispectral ...
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