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Recognition of Digits in Hydrographic Maps: Binary Versus Topographic Analysis.

, , and . IEEE Trans. Pattern Anal. Mach. Intell., 19 (4): 399-404 (1997)

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Goal-Directed Evaluation of Binarization Methods., and . IEEE Trans. Pattern Anal. Mach. Intell., 17 (12): 1191-1201 (1995)Recognition of Digits in Hydrographic Maps: Binary Versus Topographic Analysis., , and . IEEE Trans. Pattern Anal. Mach. Intell., 19 (4): 399-404 (1997)Detection of forest roads in Sentinel-2 images using U-Net., , , and . NLDL, Septentrio Academic Publishing, (2022)Automated mapping of cultural heritage in Norway from airborne lidar data using faster R-CNN., , and . Int. J. Appl. Earth Obs. Geoinformation, (2021)Forest mapping and monitoring in Africa using Sentinel-2 data and deep learning., , and . Int. J. Appl. Earth Obs. Geoinformation, (2022)Large-Scale Mapping of Small Roads in Lidar Images Using Deep Convolutional Neural Networks., , and . SCIA (2), volume 10270 of Lecture Notes in Computer Science, page 193-204. Springer, (2017)Temporal analysis of forest cover using hidden Markov models., and . IGARSS, page 2322-2325. IEEE, (2011)Use of local and global maps of forest canopy height and aboveground biomass to enhance local estimates of biomass in miombo woodlands in Tanzania., , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2020)Evaluation of Binarization Methods for Utility Map Images., and . ICIP (2), page 1046-1050. IEEE Computer Society, (1994)Evaluation of Binarization Methods for Document Images., and . IEEE Trans. Pattern Anal. Mach. Intell., 17 (3): 312-315 (1995)