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Manifold Structure of Multispectral-Spatial-Temporal Remote Sensing Data in Crop Type Mapping Based Temporal Feature Extractor

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Deep segmentation and classification of complex crops using multi-feature satellite imagery

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Crop type mapping using time-series Sentinel-2 imagery and U-Net in early growth periods in the Hetao irrigation district in China

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Multi-branch self-learning Vision Transformer (MSViT) for crop type mapping with Optical-SAR time-series

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Training sample selection for robust multi-year within-season crop classification using machine learning

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A Geometric Understanding of Deep Learning

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Improvement in crop mapping from satellite image time series by effectively supervising deep neural networks

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Multi-temporal phenological indices derived from time series Sentinel-1 images to country-wide crop classification

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A joint learning Im-BiLSTM model for incomplete time-series Sentinel-2A data imputation and crop classification

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A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses

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Land cover classification from multi-temporal, multi-spectral remotely sensed imagery using patch-based recurrent neural networks

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Assessing the robustness of Random Forests to map land cover with high resolution satellite image time series over large areas

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Deep learning based multi-temporal crop classification

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Crop type mapping without field-level labels: Random forest transfer and unsupervised clustering techniques

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DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping

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Towards interpreting multi-temporal deep learning models in crop mapping

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Crop mapping from image time series: Deep learning with multi-scale label hierarchies

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Early- and in-season crop type mapping without current-year ground truth: Generating labels from historical information via a topology-based approach

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Demonstration of large area land cover classification with a one dimensional convolutional neural network applied to single pixel temporal metric percentiles

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Transfer learning in environmental remote sensing

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Monthly composites from Sentinel-1 and Sentinel-2 images for regional major crop mapping with Google Earth Engine

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Geometry of abstract learned knowledge in the hippocampus

inferredcites →https://doi.org/10.1080/15481603.2022.2156123openalex-extracted

Exploring the potential of multi-source unsupervised domain adaptation in crop mapping using Sentinel-2 images

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Mapping rice-fallow cropland areas for short-season grain legumes intensification in South Asia using MODIS 250 m time-series data

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Probing variability in a cognitive map using manifold inference from neural dynamics

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When CNNs Meet Vision Transformer: A Joint Framework for Remote Sensing Scene Classification

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Semantic Segmentation Based on Temporal Features: Learning of Temporal–Spatial Information From Time-Series SAR Images for Paddy Rice Mapping

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A Global Geometric Framework for Nonlinear Dimensionality Reduction

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Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning

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How to Use t-SNE Effectively

inferredcites →https://doi.org/10.3389/fpls.2023.1138479openalex-extracted

A novel transfer learning framework for sorghum biomass prediction using UAV-based remote sensing data and genetic markers

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Deep Learning Application for Crop Classification via Multi-Temporal Remote Sensing Images

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An Unsupervised Crop Classification Method Based on Principal Components Isometric Binning

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Crop Type Mapping from Optical and Radar Time Series Using Attention-Based Deep Learning

inferredcites →https://doi.org/10.3390/rs14184639openalex-extracted

Unsupervised Domain Adaptation with Adversarial Self-Training for Crop Classification Using Remote Sensing Images

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Early Crop Classification via Multi-Modal Satellite Data Fusion and Temporal Attention

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Multi-Year Crop Type Mapping Using Sentinel-2 Imagery and Deep Semantic Segmentation Algorithm in the Hetao Irrigation District in China

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Convolutional LSTMs for Cloud-Robust Segmentation of Remote Sensing Imagery

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