Zobrazeno 1 - 10
of 499
pro vyhledávání: '"semantic labeling"'
Publikováno v:
Alexandria Engineering Journal, Vol 94, Iss , Pp 235-247 (2024)
In recent years, image semantic segmentation technology has developed rapidly, but image annotation usually requires a significant amount of human and financial resources, especially for remote sensing image annotation, which can be expensive and som
Externí odkaz:
https://doaj.org/article/0233f965be344769afda65ba0e02a51b
Autor:
Maria Bondarenko
Publikováno v:
DiSlaw, Iss 1 (2024)
Russian unprefixed verbs of motion (UVoMs) have been commonly recognized as one of the most challenging topics in Russian second language (L2) instruction. The traditional way of conceptualizing and teaching UVoMs, based on the rather ambiguous categ
Externí odkaz:
https://doaj.org/article/877acaf798b645f994ad53a44b1cc219
Autor:
Emad Sami Jaha
Publikováno v:
IEEE Access, Vol 12, Pp 150451-150467 (2024)
Tons of handwritten document images, either historical or continuously reproduced in everyday life, are information-rich, awaiting extensive advanced technological attention from academic and industrial communities. Document layout analysis (DLA) is
Externí odkaz:
https://doaj.org/article/b8a0c5af02a74515bd6887acf3a9ead1
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 16316-16328 (2024)
Building roof contours are important geometric features of the building and play an important role in the fields of three-dimensional model reconstruction and target detection. Due to the uneven density of the airborne light detection and ranging poi
Externí odkaz:
https://doaj.org/article/a040b6e945a44e61ac6dd6fd9916ffb5
Publikováno v:
Remote Sensing, Vol 16, Iss 17, p 3300 (2024)
Semantic labeling of very high-resolution remote sensing images (VHRRSI) has emerged as a crucial research area in remote sensing image interpretation. However, challenges arise due to significant variations in target orientation and scale, particula
Externí odkaz:
https://doaj.org/article/794ceb3df73542208398dceb819070d5
Autor:
Karthik Karri, Mahadevappa Manjunatha
Publikováno v:
Current Directions in Biomedical Engineering, Vol 9, Iss 1, Pp 547-550 (2023)
Optical Coherence Tomography (OCT) is a noninvasive technique for visualizing retinal cross-sections, assisting in diagnosing and monitoring retinal diseases. This study presents an effective OCT image noise reduction and segmentation method. Due to
Externí odkaz:
https://doaj.org/article/9489be3a3c914f46b2443b9720d7ea5b
Publikováno v:
Geo-spatial Information Science, Vol 26, Iss 2, Pp 189-205 (2023)
ABSTRACTWith the rapid development of reality capture methods, such as laser scanning and oblique photogrammetry, point cloud data have become the third most important data source, after vector maps and imagery. Point cloud data also play an increasi
Externí odkaz:
https://doaj.org/article/088276216f0e4311b20f53d5a407b12e
Publikováno v:
Alexandria Engineering Journal, Vol 61, Iss 12, Pp 12061-12074 (2022)
Mapping is the key technology of the robot slam algorithm, mainly used to obtain environmental geometric information. How to effectively improve the ability to obtain semantic information on the map becomes essential. Salient object segmentation with
Externí odkaz:
https://doaj.org/article/37711d2687d1462a9823144ca9154796
Akademický článek
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Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 6531-6547 (2022)
Currently, the most advanced high-resolution remote sensing image (HRRSI) semantic labeling methods rely on deep neural networks. However, HRRSIs naturally have a serious class imbalance problem, which is not yet well solved by the current method. Th
Externí odkaz:
https://doaj.org/article/4a4780a7df474bb6b01a64a8e4c20a68