EVALUATION OF EFFECTIVENESS OF PATCH BASED IMAGE CLASSIFICATION TECHNIQUE USING HIGH RESOLUTION WORLDVIEW-2 IMAGE

6 citations as recorded by crossref.

1. Testing Textural Information Base on LiDAR and Hyperspectral Data for Mapping Wetland Vegetation: A Case Study of Warta River Mouth National Park (Poland) A. Jarocińska et al. https://doi.org/10.3390/rs15123055
2. Precise identification of noxious weeds in alpine meadows using UAV-based hyperspectral remote sensing with multi-feature integration and deep learning L. Guan et al. https://doi.org/10.1016/j.compag.2025.111086
3. Generation and classification of patch-based land use and land cover dataset in diverse Indian landscapes: a comparative study of machine learning and deep learning models N. Rengma & M. Yadav https://doi.org/10.1007/s10661-024-12719-7
4. Understanding Crop Practices and Patterns Using Remote Sensing Technologies P. Mani https://doi.org/10.64026/JSSF/2025004
5. Multi-seasonal evaluation of hybrid poplar (P. Deltoides) plantations using Worldview-3 imagery and State-Of-The-Art ensemble learning algorithms I. Colkesen et al. https://doi.org/10.1016/j.asr.2022.10.044
6. Spatial quantification of biomass and carbon stock for different land use systems of Kallakurichi and Villupuram districts of Tamil Nadu, India K. Ramalingam et al. https://doi.org/10.1007/s12665-025-12302-4