Zobrazeno 1 - 10
of 211
pro vyhledávání: '"local feature extraction"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 1778-1791 (2025)
Extracting discriminative spectral-spatial features from hyperspectral images (HSIs) remains a crucial topic within the remote sensing community. However, most feature extraction methods suffer from coarse textures, leading to poor performance in cla
Externí odkaz:
https://doaj.org/article/37270ea018134777b71cf38dbf07841b
Publikováno v:
Jordanian Journal of Computers and Information Technology, Vol 10, Iss 4, Pp 367-382 (2024)
Automatic Facial Expression Recognition (FER) systems provide an important way to express and interpret the emotional and mental states of human beings. These FER systems transform the facial image into a set of features to train a classifier capable
Externí odkaz:
https://doaj.org/article/11cb4ccf93d640c0a8bf1834c5a40365
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 17637-17650 (2024)
The registration of synthetic aperture radar (SAR) and optical images is significant in obtaining their complementary information, which is a key prerequisite for image fusion. However, the inherent differences between the two modalities pose a chall
Externí odkaz:
https://doaj.org/article/c0584994e3f44c009699aea07bd7d960
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 10842-10861 (2024)
Due to the interference of multiplicative speckles, it is challenging to accurately detect changes in polarimetric synthetic aperture radar (PolSAR) images. Convolutional neural network has been proven to learn rich local features from PolSAR data. H
Externí odkaz:
https://doaj.org/article/441926ce1f23407f9def3a482d32dcd7
Publikováno v:
IEEE Access, Vol 12, Pp 76648-76662 (2024)
The proper functioning of many real-world applications in biometrics and surveillance depends on the robustness of face recognition systems against pose, and illumination variations. In this work, we employ ensemble systems in conjunction with local
Externí odkaz:
https://doaj.org/article/6d9d2d57f77741b8b053954bbbae02c7
Publikováno v:
Sensors, Vol 24, Iss 20, p 6572 (2024)
Abandoned object detection is a critical task in the field of public safety. However, existing methods perform poorly when detecting small and occluded objects, leading to high false detection and missed detection rates. To address this issue, this p
Externí odkaz:
https://doaj.org/article/cc2fc4740e1d48c7acfad2acec1b05ad
Publikováno v:
Remote Sensing, Vol 16, Iss 17, p 3246 (2024)
Infrared and visible image fusion integrates complementary information from different modalities into a single image, providing sufficient imaging information for scene interpretation and downstream target recognition tasks. However, existing fusion
Externí odkaz:
https://doaj.org/article/1f1151fc3ae14a70b03d5765556edf80
Autor:
Fan Li, Zhong-Xun Wang
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4756 (2024)
In order to effectively protect and verify the copyright information of multimedia digital works, this paper proposes a zero-watermarking algorithm based on carrier image feature point descriptors. The constructed feature matrix of this algorithm con
Externí odkaz:
https://doaj.org/article/cf64a9b589dd4a52b507f1df425a950a
Publikováno v:
Entropy, Vol 26, Iss 2, p 162 (2024)
Joint entity and relation extraction methods have attracted an increasing amount of attention recently due to their capacity to extract relational triples from intricate texts. However, most of the existing methods ignore the association and differen
Externí odkaz:
https://doaj.org/article/ce7544818998484fb08a9a8f418746c4
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.