ASSESSMENT OF COMBINING CONVOLUTIONAL NEURAL NETWORKS AND OBJECT BASED IMAGE ANALYSIS TO LAND COVER CLASSIFICATION USING SENTINEL 2 SATELLITE IMAGERY (TENES REGION, ALGERIA)

6 citations as recorded by crossref.

1. [Retracted] Dimensional Defect Detection Research on the Sculpture Surface Combining the Convolutional Neural Network and Gabor X. Liu & M. Hashmi 10.1155/2022/8259265
2. Comparative Assessment of Five Machine Learning Algorithms for Supervised Object-Based Classification of Submerged Seagrass Beds Using High-Resolution UAS Imagery A. Thomasberger et al. 10.3390/rs15143600
3. Flood risk assessment in Ténès city (Algeria) using land cover based on machine learning methods and Pléiades tri-stereo images Z. Narimane et al. 10.1016/j.asr.2024.12.036
4. Temporal assessment of forest cover dynamics in response to forest fires and other environmental impacts using AI S. Noor et al. 10.1007/s10661-024-12992-6
5. Classification of GaoFen-3 full-polarization data based on combining polarization characteristics D. Zha et al. 10.1117/1.JRS.16.026514
6. Application of Convolutional Neural Networks With Object-Based Image Analysis for Land Cover and Land Use Mapping in Coastal Areas: A Case Study in Ain Témouchent, Algeria N. Zaabar et al. 10.1109/JSTARS.2022.3185185