A COMPARISON STUDY OF DIFFERENT KERNEL FUNCTIONS FOR SVM-BASED CLASSIFICATION OF MULTI-TEMPORAL POLARIMETRY SAR DATA

34 citations as recorded by crossref.

1. Efficiently Updating ECG-Based Biometric Authentication Based on Incremental Learning J. Kim et al. 10.3390/s21051568
2. Applications of artificial intelligence in water treatment for optimization and automation of adsorption processes: Recent advances and prospects G. Alam et al. 10.1016/j.cej.2021.130011
3. An ensemble machine learning approach for determination of the optimum sampling time for evapotranspiration assessment from high-throughput phenotyping data S. Kar et al. 10.1016/j.compag.2021.105992
4. Prediction for Biodiesel Quality using the Dielectric Properties . Rahmawati 10.1088/1757-899X/536/1/012057
5. Human Activities and Postural Transitions Classification using Support Vector Machine and K-Nearest Neighbor Methods I. Yulita & S. Saori 10.1088/1755-1315/248/1/012025
6. PERFORMANCE EVALUATION OF SVM KERNELS ON MULTISPECTRAL LISS III DATA FOR OBJECT CLASSIFICATION S. Prasad et al. 10.21307/ijssis-2018-020
7. A New Methodology to Arrive at Membership Weights for Fuzzy SVM . Maruthamuthu A. et al. 10.4018/IJFSA.285556
8. GPU parallel implementation and optimisation of SAR target recognition method H. Quan et al. 10.1049/joe.2019.0669
9. Convolutional Support Vector Models: Prediction of Coronavirus Disease Using Chest X-rays M. Maia et al. 10.3390/info11120548
10. Exploring the Capability of Compact Polarimetry (Hybrid Pol) C Band RISAT-1 Data for Land Cover Classification K. Dasari & A. Lokam 10.1109/ACCESS.2018.2873348
11. MSMD: maximum separability and minimum dependency feature selection for cropland classification from optical and radar data I. Khosravi et al. 10.1080/01431161.2018.1425564
12. Data-driven surrogate modeling for performance prediction and sensitivity analysis of transport properties in proton exchange membrane water electrolyzers K. Raman et al. 10.1016/j.apenergy.2025.125529
13. Change Detection of Polarimetric SAR Images Based on the Integration of Improved Watershed and MRF Segmentation Approaches M. Omati & M. Sahebi 10.1109/JSTARS.2018.2874517
14. Application of active learning in DNA microarray data for cancerous gene identification S. Begum et al. 10.1016/j.eswa.2021.114914
15. Evaluating the Performance of Machine Learning and Deep Learning Techniques to HyMap Imagery for Lithological Mapping in a Semi-Arid Region: Case Study from Western Anti-Atlas, Morocco S. Hajaj et al. 10.3390/min13060766
16. Machine Learning Insights: Exploring Key Factors Influencing Sale-to-List Ratio—Insights from SVM Classification and Recursive Feature Selection in the US Real Estate Market J. Sobieraj & D. Metelski 10.3390/buildings14051471
17. Wildfire Damage Assessment over Australia Using Sentinel-2 Imagery and MODIS Land Cover Product within the Google Earth Engine Cloud Platform S. Seydi et al. 10.3390/rs13020220
18. Comparison of kernel functions of support vector machines: A case study for the solar cell output power prediction D. NURWAHA 10.31593/ijeat.630789
19. Machine Learning and Deep Learning Based Computational Techniques in Automatic Agricultural Diseases Detection: Methodologies, Applications, and Challenges J. Wani et al. 10.1007/s11831-021-09588-5
20. Classification of Children With Attention-Deficit Hyperactivity Disorder Using Wigner-Ville Time-Frequency and Deep expEEGNetwork Feature-Based Computational Models Y. Sharma & B. Singh 10.1109/TMRB.2023.3315742
21. Performance Validation of Spectrum Sensing Using Kernelized Support Vector Machine Transformation S. Reddy & M. Meena 10.1007/s11277-023-10662-3
22. OCLU-NET for occlusal classification of 3D dental models M. Juneja et al. 10.1007/s00138-020-01102-4
23. SVM and SVM Ensembles in Breast Cancer Prediction M. Huang et al. 10.1371/journal.pone.0161501
24. A New End-to-End Multi-Dimensional CNN Framework for Land Cover/Land Use Change Detection in Multi-Source Remote Sensing Datasets S. Seydi et al. 10.3390/rs12122010
25. Network Threat Detection Using Machine/Deep Learning in SDN-Based Platforms: A Comprehensive Analysis of State-of-the-Art Solutions, Discussion, Challenges, and Future Research Direction N. Ahmed et al. 10.3390/s22207896
26. Sustainability planning in the US response to the opioid crisis: An examination using expert and text mining approaches C. Gallo et al. 10.1371/journal.pone.0245920
27. Vehicle detection using panchromatic high-resolution satellite images as a support for urban planning. Case study of Prague’s centre P. Golej et al. 10.2478/geosc-2022-0009
28. Support Vector Machine Accuracy Assessment for Extracting Green Urban Areas in Towns N. Kranjčić et al. 10.3390/rs11060655
29. A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges J. Xie et al. 10.1109/COMST.2018.2866942
30. Improved automated detection of glaucoma by correlating fundus and SD‐OCT image analysis T. Shehryar et al. 10.1002/ima.22413
31. Timely assessment of maize lodging severity with limited samples using multi-temporal Sentinel-1 and Sentinel-2 data across large spatial extents C. Cai et al. 10.1016/j.compag.2025.110671
32. A Review on Applications of Artificial Intelligence in Wastewater Treatment Y. Wang et al. 10.3390/su151813557
33. PERFORMANCE EVALUATION OF SVM KERNELS ON MULTISPECTRAL LISS III DATA FOR OBJECT CLASSIFICATION S. Prasad et al. 10.21307/ijssis-2018-022
34. Estimation of particulate matter (PM2.5, PM10) concentration and its variation over urban sites in Bangladesh A. Gupta et al. 10.1007/s42452-020-03829-1