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Crop Classification

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18

논문

이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

A Joint Learning Framework with Feature Reconstruction and Prediction for Incomplete Satellite Image Time Series in Agricultural Semantic Segmentation

MT-CYP-Net: Multi-Task Network for Pixel-Level Crop Yield Prediction Under Very Few Samples

YOLO-RS: Remote Sensing Enhanced Crop Detection Methods

Towards more efficient agricultural practices via transformer-based crop type classification

SITSMamba for Crop Classification based on Satellite Image Time Series

On the Generalizability of Foundation Models for Crop Type Mapping

Enhanced Infield Agriculture with Interpretable Machine Learning Approaches for Crop Classification

Increasing the Robustness of Model Predictions to Missing Sensors in Earth Observation

XAI-Guided Enhancement of Vegetation Indices for Crop Mapping

CMTNet: Convolutional Meets Transformer Network for Hyperspectral Images Classification

Low-Resource Crop Classification from Multi-Spectral Time Series Using Lossless Compressors

In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing Data

Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications

Enhancing crop classification accuracy by synthetic SAR-Optical data generation using deep learning

Cross Domain Early Crop Mapping using CropSTGAN

Can SAM recognize crops? Quantifying the zero-shot performance of a semantic segmentation foundation model on generating crop-type maps using satellite imagery for precision agriculture

PhytNet -- Tailored Convolutional Neural Networks for Custom Botanical Data

XAI for Early Crop Classification

A Comparative Assessment of Multi-view fusion learning for Crop Classification

Boosting Crop Classification by Hierarchically Fusing Satellite, Rotational, and Contextual Data

Crop identification using deep learning on LUCAS crop cover photos

Lightweight, Pre-trained Transformers for Remote Sensing Timeseries

A Strategy Optimized Pix2pix Approach for SAR-to-Optical Image Translation Task

Time Gated Convolutional Neural Networks for Crop Classification

Bagged Polynomial Regression and Neural Networks

Activation Regression for Continuous Domain Generalization with Applications to Crop Classification

A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning

Tampered VAE for Improved Satellite Image Time Series Classification

Generalized Classification of Satellite Image Time Series with Thermal Positional Encoding

TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift Estimation

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

Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series

Domain-Adversarial Training of Self-Attention Based Networks for Land Cover Classification using Multi-temporal Sentinel-2 Satellite Imagery

Spatio-temporal Crop Classification On Volumetric Data

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

Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations

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