Zobrazeno 1 - 10
of 290
pro vyhledávání: '"simple linear Iterative clustering"'
Publikováno v:
In ISPRS Journal of Photogrammetry and Remote Sensing February 2025 220:307-322
Publikováno v:
IEEE Access, Vol 12, Pp 171036-171054 (2024)
This research presents a novel node-based Graph Convolutional Network (GCN) approach for the classification of breast cancer from ultrasound images. Utilizing the Simple Linear Iterative Clustering (SLIC) algorithm, superpixels are segmented and trea
Externí odkaz:
https://doaj.org/article/527b4ad6851a4530a02a3aff29780a74
Autor:
Longhao Sun
Publikováno v:
IEEE Access, Vol 11, Pp 121096-121108 (2023)
Cost aggregation is a key step in stereo matching algorithms. Despite more than a decade of development, most algorithms still encounter challenges such as high error rates in low-texture regions and blurred edges. To improve matching accuracy, we pr
Externí odkaz:
https://doaj.org/article/cfa47c897fca41d8ace82f700d4e9251
Autor:
M. Anousouya Devi, R. Ezhilarasie, K. Suresh Joseph, Ketan Kotecha, Ajith Abraham, Subramaniyaswamy Vairavasundaram
Publikováno v:
IEEE Access, Vol 11, Pp 77636-77647 (2023)
The accurate and reliable derivation of the pap smear cell, which contains cytoplasm and nucleus regions, depends on the segmentation process employed in the cervical cancer detection mechanism. In this paper, an Improved Boykov’s Graph Cut-based C
Externí odkaz:
https://doaj.org/article/95ce4da946b249be80e7ac9c19c6f0e1
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 1771-1784 (2023)
Unmanned aerial vehicles (UAVs) are promising remote sensors capable of reforming remote sensing applications. However, for artificial-intelligence-guided tasks, such as land cover mapping and ground-object mapping, most deep-learning-based architect
Externí odkaz:
https://doaj.org/article/4ec4086609f740489858f7667d6a912d
Publikováno v:
Information Processing in Agriculture, Vol 9, Iss 3, Pp 355-364 (2022)
In precision agriculture, the accurate segmentation of crops and weeds in agronomic images has always been the center of attention. Many methods have been proposed but still the clean and sharp segmentation of crops and weeds is a challenging issue f
Externí odkaz:
https://doaj.org/article/7e5eaa62576f486fb633109e6e4443c4
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 393-408 (2022)
Sparse unmixing with a semisupervised fashion has been applied to hyperspectral remote sensing imagery. However, the imprecise spatial contextual information, the lack of global feature and the high mutual coherences of a spectral library greatly lim
Externí odkaz:
https://doaj.org/article/2fbd247b587d4f98835db9379c869dc0
Akademický článek
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Autor:
Jonathan Williams, Toby D. Jackson, Carola-Bibiane Schönlieb, Tom Swinfield, Bambang Irawan, Eva Achmad, Muhammad Zudhi, Habibi Habibi, Elva Gemita, David A. Coomes
Publikováno v:
Frontiers in Forests and Global Change, Vol 5 (2022)
Logged forests cover four million square kilometers of the tropics, capturing carbon more rapidly than temperate forests and harboring rich biodiversity. Restoring these forests is essential to help avoid the worst impacts of climate change. Yet moni
Externí odkaz:
https://doaj.org/article/1d6956fdd092493cb40f5469ca9a98a3
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 10 (2022)
With the development of bionic computer vision for images processing, researchers have easily obtained high-resolution zoom sensing images. The development of drones equipped with high-definition cameras has greatly increased the sample size and imag
Externí odkaz:
https://doaj.org/article/e67c952aedc14082bc9ff9d9a2ac2464