Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Hasnat Khurshid"'
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 22:4507-4518
Intelligent Transportation Systems (ITS), especially Autonomous Vehicles (AVs), are vulnerable to security and safety issues that threaten the lives of the people. Unlike manual vehicles, the security of communications and computing components of AVs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::217e957a46f1d140ecac5c3fc7af2cbf
https://doi.org/10.1109/tits.2020.3017882
https://doi.org/10.1109/tits.2020.3017882
Publikováno v:
International Journal of Communication Systems. 34
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54515d6f75ff19dfa9117a236bf5bc7a
https://doi.org/10.1002/dac.4815
https://doi.org/10.1002/dac.4815
Autor:
Nour Moustafa, Mohamed Abdel-Basset, Reham R. Mostafa, Marwa Keshk, Hasnat Khurshid, Asim D. Bakhshi, Javed Ashraf
Publikováno v:
Sustainable Cities and Society. 72:103041
The rapid proliferation of the Internet of Things (IoT) systems, has enabled transforming urban areas into smart cities. Smart cities’ paradigm has resulted in improved quality of life and better services to citizens, like smart healthcare, smart p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acec0d0f69f98030291d608ed18242d7
https://doi.org/10.1016/j.scs.2021.103041
https://doi.org/10.1016/j.scs.2021.103041
Publikováno v:
Signal, Image and Video Processing. 11:463-470
Image fusion combines complementary information for several input images. To obtain useful information from two misaligned images, registration is required. A hybrid textural registration-based multi-focus image fusion scheme is proposed. The Gabor f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::320c54b58c73eed2cb2671cf10b59c7c
https://doi.org/10.1007/s11760-016-0982-6
https://doi.org/10.1007/s11760-016-0982-6
Publikováno v:
Electronics, Vol 9, Iss 1177, p 1177 (2020)
The Internet of Things (IoT) is poised to impact several aspects of our lives with its fast proliferation in many areas such as wearable devices, smart sensors and home appliances. IoT devices are characterized by their connectivity, pervasiveness an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65921b3c2b9412a4971a57b20d2171f6
https://doi.org/10.3390/electronics9071177
https://doi.org/10.3390/electronics9071177
Autor:
M. Faisal Khan, Hasnat Khurshid
Publikováno v:
Signal, Image and Video Processing. 10:1001-1007
In this paper, we propose a novel method for pixel classification of remotely sensed images. The proposed method exploits the spatial information of image pixels using morphological profiles produced by structuring elements of different sizes and sha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::749cb34c2ef0580d99375cf9a10229d7
https://doi.org/10.1007/s11760-015-0851-8
https://doi.org/10.1007/s11760-015-0851-8
Publikováno v:
2015 9th Asia Modelling Symposium (AMS).
Image fusion merges the complementary information of different sensors and wavelengths. Images from multiple sensors such as visible and infrared (IR) are of particular interest in many applications. We present here a multi-stage image fusion scheme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14614e8b2d29af70c26882425065746e
https://doi.org/10.1109/ams.2015.23
https://doi.org/10.1109/ams.2015.23
Publikováno v:
2015 9th Asia Modelling Symposium (AMS).
Morphological profiles are one of the highly effective tools for image classification when structural information is critical. Morphological profiles, however create high dimensional feature space and increase the complexity of classifier. In this pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da0f0d66b2d2cd6d871337e8fd8dc063
https://doi.org/10.1109/ams.2015.24
https://doi.org/10.1109/ams.2015.24
Publikováno v:
IGARSS
Principal component analysis and minimum description length criterion based image enhancement is proposed for through wall imaging. Minimum description length criterion is used with principal component analysis to find target eigen values. Simulation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c5244ecaf15d8edffe46862a53e06f8
https://doi.org/10.1109/igarss.2013.6723332
https://doi.org/10.1109/igarss.2013.6723332
Publikováno v:
IGARSS
Segmentation of Built up area from a satellite image is an initial step for a variety of applications. In this paper we propose a novel approach for segmenting built up area mask from SPOT 5 multi spectral satellite images with 2.5 meter resolution.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8eed1538e94f42664468896747c2fa26
https://doi.org/10.1109/igarss.2013.6723192
https://doi.org/10.1109/igarss.2013.6723192