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13 Nov 2017
COMPARISON OF TWO SIMPLIFICATION METHODS FOR SHORELINE EXTRACTION FROM DIGITAL ORTHOPHOTO IMAGES
B. Bayram, A. Sen, M. O. Selbesoglu, I. Vārna, P. Petersons, N. O. Aykut, and D. Z. Seker
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ENHANCEMENT OF UNDERWATER IMAGES WITH ARTIFICIAL INTELLIGENCE
Z. Ertan, B. Korkut, G. Gördük, B. Kulavuz, T. Bakırman, and B. Bayram
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W9-2024, 149–156, https://doi.org/10.5194/isprs-archives-XLVIII-4-W9-2024-149-2024,https://doi.org/10.5194/isprs-archives-XLVIII-4-W9-2024-149-2024, 2024
FOREST SEMANTIC SEGMENTATION BASED ON DEEP LEARNING USING SENTINEL-2 IMAGES
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EFFECT OF DIFFERENT SEGMENTATION METHODS USING OPTICAL SATELLITE IMAGERY TO ESTIMATE FUZZY CLUSTERING PARAMETERS FOR SENTINEL-1A SAR IMAGES
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THE EFFICIENCY OF RANDOM FOREST METHOD FOR SHORELINE EXTRACTION FROM LANDSAT-8 AND GOKTURK-2 IMAGERIES
B. Bayram, F. Erdem, B. Akpinar, A. K. Ince, S. Bozkurt, H. Catal Reis, and D. Z. Seker
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B. Bayram, F. Erdem, B. Akpinar, A. K. Ince, S. Bozkurt, H. Catal Reis, and D. Z. Seker
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