Zobrazeno 1 - 10
of 321
pro vyhledávání: '"Kuo Chin Fan"'
Publikováno v:
Remote Sensing, Vol 16, Iss 6, p 1078 (2024)
Mangroves grow in intertidal zones in tropical and subtropical regions, offering numerous advantages to humans and ecosystems. Mangrove monitoring is one of the important tasks to understand the current status of mangrove forests regarding their loss
Externí odkaz:
https://doaj.org/article/5833d94573fc48fa8375afc7a5414154
Publikováno v:
Information, Vol 14, Iss 7, p 381 (2023)
Biometrics has become an important research issue in recent years, and the use of deep learning neural networks has made it possible to develop more reliable and efficient recognition systems. Palms have been identified as one of the most promising c
Externí odkaz:
https://doaj.org/article/23de363f18544bf39d5bea1899f0ec42
Publikováno v:
Remote Sensing, Vol 15, Iss 3, p 569 (2023)
Remote sensing is used in an increasingly wide range of applications. Models and methodologies based on artificial intelligence (AI) are commonly used to increase the performance of remote sensing technologies. Deep learning (DL) models are the most
Externí odkaz:
https://doaj.org/article/2c83413785df4239b371a675a2129178
Publikováno v:
Journal of Information Science & Engineering; May2024, Vol. 40 Issue 3, p507-520, 14p
Applying a Deep Learning Neural Network to Gait-Based Pedestrian Automatic Detection and Recognition
Publikováno v:
Applied Sciences, Vol 12, Iss 9, p 4326 (2022)
Gait recognition is a noncontact biometric procedure that determines the identity or health status of a person by analyzing his or her walking posture and habits, including skeletal and joint movements. The most remarkable feature of this method is t
Externí odkaz:
https://doaj.org/article/c25b18b0b47247e1ac8f6fdbb9f28858
Autor:
Yang-Lang Chang, Tan-Hsu Tan, Wei-Hong Lee, Lena Chang, Ying-Nong Chen, Kuo-Chin Fan, Mohammad Alkhaleefah
Publikováno v:
Remote Sensing, Vol 14, Iss 7, p 1571 (2022)
The performance of hyperspectral image (HSI) classification is highly dependent on spatial and spectral information, and is heavily affected by factors such as data redundancy and insufficient spatial resolution. To overcome these challenges, many co
Externí odkaz:
https://doaj.org/article/c9745743a99242c2aa4158b3d829fa91
Publikováno v:
Remote Sensing, Vol 13, Iss 7, p 1259 (2021)
Radar automatic target recognition is a critical research topic in radar signal processing. Radar high-resolution range profiles (HRRPs) describe the radar characteristics of a target, that is, the characteristics of the target that is reflected by t
Externí odkaz:
https://doaj.org/article/b1134ffc77d548b8be321767cfb1e51c
Publikováno v:
Remote Sensing, Vol 13, Iss 1, p 130 (2021)
In this paper, a novel feature line embedding (FLE) algorithm based on support vector machine (SVM), referred to as SVMFLE, is proposed for dimension reduction (DR) and for improving the performance of the generative adversarial network (GAN) in hype
Externí odkaz:
https://doaj.org/article/bf0e3c50efe448ffa9b8faa51319415f
Publikováno v:
Sensors, Vol 15, Iss 12, Pp 31339-31361 (2015)
In this paper, we present a reliable and robust biometric verification method based on bimodal physiological characteristics of palms, including the palmprint and palm-dorsum vein patterns. The proposed method consists of five steps: (1) automaticall
Externí odkaz:
https://doaj.org/article/ae1ede026e7e403ab0f3e3d158f5bed0
Publikováno v:
Remote Sensing, Vol 7, Iss 11, Pp 14292-14326 (2015)
In this paper, a general nearest feature line (NFL) embedding (NFLE) transformation called fuzzy-kernel NFLE (FKNFLE) is proposed for hyperspectral image (HSI) classification in which kernelization and fuzzification are simultaneously considered. Tho
Externí odkaz:
https://doaj.org/article/b6cb5cfddbed4d4f8dde56b261d7a296