Zobrazeno 1 - 10
of 3 937
pro vyhledávání: '"scene classification"'
Autor:
Nupur Pathak, Gangotri Biswal, Megha Goushal, Vraj Mistry, Palak Shah, Fenglian Li, Jerry Gao
Publikováno v:
Smart Cities, Vol 7, Iss 4, Pp 2232-2257 (2024)
The United States is the second-largest waste generator in the world, generating 4.9 pounds (2.2 kg) of Municipal Solid Waste (MSW) per person each day. The excessive amount of waste generated poses serious health and environmental risks, especially
Externí odkaz:
https://doaj.org/article/e82996812348473d95a3c3a430eb8529
Autor:
A. Arun Solomon, S. Akila Agnes
Publikováno v:
Geographies, Vol 4, Iss 3, Pp 462-480 (2024)
Recent advancements in deep learning have significantly improved the performance of remote sensing scene classification, a critical task in remote sensing applications. This study presents a new aerial scene classification model, the Multi-Scale Swin
Externí odkaz:
https://doaj.org/article/47f898a4938c4767a3ec5f723b04b700
Autor:
Ali Ghanbarzadeh, Hossein Soleimani
Publikováno v:
Heliyon, Vol 10, Iss 19, Pp e37962- (2024)
Transferring the ImageNet pre-trained weights to the various remote sensing tasks has produced acceptable results and reduced the need for labeled samples. However, the domain differences between ground imageries and remote sensing images cause the p
Externí odkaz:
https://doaj.org/article/215868975c12408aac297a357360c788
Autor:
Mohammad Alamgeer, Alanoud Al Mazroa, Saud S. Alotaibi, Meshari H. Alanazi, Mohammed Alonazi, Ahmed S. Salama
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e37154- (2024)
Remote sensing (RS) scene classification has received significant consideration because of its extensive use by the RS community. Scene classification in satellite images has widespread uses in remote surveillance, environmental observation, remote s
Externí odkaz:
https://doaj.org/article/4924dc30c1fb4272959921fe41ca1433
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 133, Iss , Pp 104131- (2024)
Deep neural networks (DNNs) have risen to prominence as key solutions in numerous AI applications for earth observation (AI4EO). However, their susceptibility to adversarial examples poses a critical challenge, compromising the reliability of AI4EO a
Externí odkaz:
https://doaj.org/article/bad043238de64bda9fa672e0fd84c2c9
Publikováno v:
Frontiers in Audiology and Otology, Vol 2 (2024)
ObjectivesThis clinical study investigated the impact of the Naída M hearing system, a novel cochlear implant sound processor and corresponding hearing aid, featuring automatic scene classification systems which combine directional microphones and n
Externí odkaz:
https://doaj.org/article/1f144cbef4e24ea58805bb20ba041a34
Autor:
Alaa O. Khadidos
Publikováno v:
AIMS Mathematics, Vol 9, Iss 4, Pp 10235-10254 (2024)
The Remote Sensing Scene Image Classification (RSSIC) procedure is involved in the categorization of the Remote Sensing Images (RSI) into sets of semantic classes depending upon the content and this procedure plays a vital role in extensive range of
Externí odkaz:
https://doaj.org/article/c6809b48af22495293458dd4c42508e0
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 17021-17035 (2024)
In remote sensing image classification task, it is often apply a model trained on one dataset (source domain) to another dataset (target domain). However, due to the presence of domain shift between these domains where data are not independent and id
Externí odkaz:
https://doaj.org/article/3c9d7924b9fd42059c68c592254cf92f
Autor:
Anas Tukur Balarabe, Ivan Jordanov
Publikováno v:
IEEE Access, Vol 12, Pp 123078-123098 (2024)
As deeper and lighter variations of convolutional neural networks (CNNs) continue to break accuracy and efficiency records, their applications for solving domain-specific challenges continue to widen, particularly in computer vision and pattern recog
Externí odkaz:
https://doaj.org/article/f0489936985848cdae43b3f73556b626
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13169-13187 (2024)
Automatic urban informal settlement (UIS) extraction based on high-resolution remote sensing image (HRI) is of great significance for urban planning and management. This study proposes a scene classification-assisted and texture feature-enhanced mult
Externí odkaz:
https://doaj.org/article/b7fdac97cc0b41099100cdfd40b5ef76