Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Chengcai Leng"'
Autor:
Yameng Hong, Chengcai Leng, Xinyue Zhang, Huaiping Yan, Jinye Peng, Licheng Jiao, Irene Cheng, Anup Basu
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 10614-10627 (2021)
Given the imaging characteristics of synthetic aperture radar (SAR) images and the inherent speckle noise in them, scale-invariant feature transform based algorithms are unable to perform satisfactorily. To improve registration efficiency between SAR
Externí odkaz:
https://doaj.org/article/04e58f993290493e883987e006836768
Publikováno v:
IEEE Access, Vol 7, Pp 6424-6434 (2019)
Image registration is an important technique in many computer vision applications such as image fusion, image retrieval, object tracking, face recognition, change detection and so on. Local feature descriptors, i.e., how to detect features and how to
Externí odkaz:
https://doaj.org/article/2af4230560124fb7aaebb808fc3e465d
Publikováno v:
IEEE Access, Vol 7, Pp 164294-164303 (2019)
Retracted.
Externí odkaz:
https://doaj.org/article/38442b34cc1f4c7bb20a250a3cf3f3b6
Publikováno v:
Remote Sensing, Vol 13, Iss 24, p 5128 (2021)
With rapid advancements in remote sensing image registration algorithms, comprehensive imaging applications are no longer limited to single-modal remote sensing images. Instead, multi-modal remote sensing (MMRS) image registration has become a resear
Externí odkaz:
https://doaj.org/article/15934fbd15ee4ba8ba6ebe8ed972d7d5
Publikováno v:
Remote Sensing, Vol 13, Iss 12, p 2328 (2021)
Image registration has always been an important research topic. This paper proposes a novel method of constructing descriptors called the histogram of oriented local binary pattern descriptor (HOLBP) for fast and robust matching. There are three new
Externí odkaz:
https://doaj.org/article/77d5440577d4471c8a46936890b89a27
Publikováno v:
Journal of Innovative Optical Health Sciences, Vol 10, Iss 3, Pp 1750003-1-1750003-12 (2017)
Bioluminescence tomography (BLT) is a novel optical molecular imaging technique that advanced the conventional planar bioluminescence imaging (BLI) into a quantifiable three-dimensional (3D) approach in preclinical living animal studies in oncology.
Externí odkaz:
https://doaj.org/article/2086c0200f72407cb991f5755764a307
Publikováno v:
Sensors, Vol 19, Iss 3, p 607 (2019)
With the three-dimensional (3D) coordinates of objects captured by a sequence of images taken in different views, object reconstruction is a technique which aims to recover the shape and appearance information of objects. Although great progress in o
Externí odkaz:
https://doaj.org/article/8fff45fc66d74161b8ce9b7d199d6401
Publikováno v:
Symmetry, Vol 10, Iss 7, p 272 (2018)
We propose an incremental spectral clustering method for stream data clustering and apply it to stream image segmentation. The main idea in our work consists of generating the data points in the kernel space by Fastfood features and iteratively calcu
Externí odkaz:
https://doaj.org/article/2cbd4957d9d84ffabc02f8e7dad92bfd
Publikováno v:
Remote Sensing, Vol 10, Iss 2, p 291 (2018)
Estimating the transformation between two images from the same scene is a fundamental step for image registration, image stitching and 3D reconstruction. State-of-the-art methods are mainly based on sorted residual for generating hypotheses. This sch
Externí odkaz:
https://doaj.org/article/1558cfcae956450c8b9e936120fd1f7d
Autor:
Tianming Song, Xia Liu, Yawei Qu, Haixiao Liu, Chengpeng Bao, Chengcai Leng, Zhenhua Hu, Kun Wang, Jie Tian
Publikováno v:
Molecular Imaging, Vol 14 (2015)
Cerenkov luminescence imaging is an emerging optical technique for imaging the distribution of radiopharmaceuticals in vivo. However, because of the light scattering effect, it cannot obtain optical information from deep internal organs. To overcome
Externí odkaz:
https://doaj.org/article/762ac6a564bc4c99b1a5268485cbe8e0