SUPPORT VECTOR MACHINE CLASSIFICATION OF OBJECT-BASED DATA FOR CROP MAPPING, USING MULTI-TEMPORAL LANDSAT IMAGERY

37 citations as recorded by crossref.

1. Optimizing crop type mapping for fairness I. Gorbunov et al.
2. A Framework for Large-Area Mapping of Past and Present Cropping Activity Using Seasonal Landsat Images and Time Series Metrics M. Schmidt et al.
3. Comparative Assessment of Supervised Classifiers for Land Use–Land Cover Classification in a Tropical Region Using Time-Series PALSAR Mosaic Data T. Shiraishi et al.
4. Mapping Crop Types Using Sentinel-2 Data Machine Learning and Monitoring Crop Phenology with Sentinel-1 Backscatter Time Series in Pays de Brest, Brittany, France G. Xie & S. Niculescu
5. Crop Classification with Attention Based BI-LSTM and Temporal Convolution Neural Network Combination for Remote Sensing Breizhcrop Time Series Data A. Bandar & A. Coşkunçay
6. Satellite Image Time-Series Classification with Inception-Enhanced Temporal Attention Encoder Z. Zhang et al.
7. Self-Guided Segmentation and Classification of Multi-Temporal Landsat 8 Images for Crop Type Mapping in Southeastern Brazil B. Schultz et al.
8. Object-Based Flood Mapping and Affected Rice Field Estimation with Landsat 8 OLI and MODIS Data P. Dao & Y. Liou
9. A review on the methods for big data analysis in agriculture B. Evstatiev & K. Gabrovska-Evstatieva
10. Accurate crop-type classification using multi-temporal optical and multi-polarization SAR data in an object-based image analysis framework B. Salehi et al.
11. Crop Types Discrimination and Yield Prediction Using Sentinel-2 Data and AquaCrop Model in Hazaribagh District, Jharkhand B. Parida et al.
12. An innovative intelligent system based on remote sensing and mathematical models for improving crop yield estimation M. Awad
13. STA-AgriNet: A Spatio-Temporal Attention Framework for Crop Type Mapping from Fused Multi-Sensor Multi-Temporal SITS J. Anandakrishnan et al.
14. Multi-sensor Fusion Workflow for Accurate Classification and Mapping of Sugarcane Crops M. Villareal & A. Tongco
15. Crop type mapping from pansharpened Landsat 8 NDVI data: A case of a highly fragmented and intensive agricultural system J. Ouzemou et al.
16. PERFORMANCE EVALUATION OF SVM KERNELS ON MULTISPECTRAL LISS III DATA FOR OBJECT CLASSIFICATION S. Prasad et al.
17. Early-Season Crop Mapping on an Agricultural Area in Italy Using X-Band Dual-Polarization SAR Satellite Data and Convolutional Neural Networks G. Fontanelli et al.
18. Wells and land use changes in Dakhla Oasis (Egypt) using geospatial analysis: case study of Rashda village E. Iwasaki et al.
19. Assessment of the benefit of a single sentinel-2 satellite image to small crop parcels mapping J. El Hachimi et al.
20. An Integrated Monitoring System for Coastal and Riparian Areas Based on Remote Sensing and Machine Learning A. Tzepkenlis et al.
21. Separability of Dominant Crop Cultures in Southern Germany Using TerraSAR-X Data K. Thiong’o et al.
22. Land-Cover Classification With Time-Series Remote Sensing Images by Complete Extraction of Multiscale Timing Dependence J. Yan et al.
23. Evaluating Rice Yield Vulnerability To Climate Variability in Bangladesh: An Integrated Framework Leveraging Remote Sensing and Machine Learning A. Biswas & T. Chakraborty
24. Efficient Approach for Crop Recommendation Using Soil Data and Support Vector Machine Model . Rashmi Jain
25. Self-attention for raw optical Satellite Time Series Classification M. Rußwurm & M. Körner
26. Discriminating native and plantation forests in a Landsat time-series for land use policy design T. Nery et al.
27. Long-term variability in atmospheric moisture transport and relationship with heavy precipitation in the eastern USA N. Teale & D. Robinson
28. Sentinel-2 Enables Nationwide Monitoring of Single Area Payment Scheme and Greening Agricultural Subsidies in Hungary L. Henits et al.
29. PERFORMANCE EVALUATION OF SVM KERNELS ON MULTISPECTRAL LISS III DATA FOR OBJECT CLASSIFICATION S. Prasad et al.
30. Classification of shoreline vegetation in the Western Basin of Lake Erie using airborne hyperspectral imager HSI2, Pleiades and UAV data P. Rupasinghe et al.
31. SIFT and Tensor Based Object Detection and Classification in Videos Using Deep Neural Networks N. Najva & K. Bijoy
32. A CNN-Transformer Hybrid Approach for Crop Classification Using Multitemporal Multisensor Images Z. Li et al.
33. Landslide susceptibility mapping and management in Western Serbia: an analysis of ANFIS- and SVM-based hybrid models I. Elkhrachy et al.
34. Monte Carlo simulation-aided analytical hierarchy process (AHP) for flood susceptibility mapping in Gabes Basin (southeastern Tunisia) N. Dahri & H. Abida
35. Mapping and Monitoring of Land Cover/Land Use (LCLU) Changes in the Crozon Peninsula (Brittany, France) from 2007 to 2018 by Machine Learning Algorithms (Support Vector Machine, Random Forest, and Convolutional Neural Network) and by Post-classification Comparison (PCC) G. Xie & S. Niculescu
36. Remote Sensing Techniques for Classification and Mapping of Sugarcane Growth M. Villareal & A. Tongco
37. Remote Sensing Crop Recognition by Coupling Phenological Features and Off-Center Bayesian Deep Learning Y. Wu et al.