Results 31 to 40 of about 5,071,895 (335)

A Multiscale Self-Adaptive Attention Network for Remote Sensing Scene Classification

Remote Sensing, 2020
High-resolution optical remote sensing image classification is an important research direction in the field of computer vision. It is difficult to extract the rich semantic information from remote sensing images with many objects.
Lingling Li, Pujiang Liang, Jingjing Ma, Licheng Jiao, Xiaohui Guo, Fang Liu, Chen Sun   +6 more
doaj   +1 more source

Tracking with spatial constrained coding

IET Computer Vision, 2015
A video tracking method based on spatial constrained coding (SCC) is proposed in this study. To characterise local image structure information, the dense scale‐invariant feature transform (SIFT) descriptor is extracted for each pixel in the image.
Xiaolin Tian, Licheng Jiao, Fandi Zhao, Xiaohua Zhang   +3 more
doaj   +1 more source

The Effect of Temporal Perception on Weight Perception [PDF]

Frontiers in Psychology, 2013
A successful catch of a falling ball requires an accurate estimation of the timing for when the ball hits the hand. In a previous experiment in which participants performed ball-catching task in virtual reality environment, we accidentally found that the weight of a falling ball was perceived differently when the timing of ball load force to the hand ...
Hiroyuki eKambara, Duk eShin, Toshihiro eKawase, Natsue eYoshimura, Katsuhito eAkahane, Makoto eSato, Yasuharu eKoike, Yasuharu eKoike   +7 more
openaire   +4 more sources

Toward an ecological aesthetics: music as emergence [PDF]

, 2003
In this article we intend to suggest some ecological based principles to support the possibility of develop an ecological aesthetics. We consider that an ecological aesthetics is founded in concepts as “direct perception”, “acquisition of affordances and
Oliveira, A. L. G., Oliveira, L. F.
core   +3 more sources

Remote Sensing Video Tracking: Current Status, Challenges, and Future

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
With the rapid advancement of remote sensing technology, the acquisition and processing of remote sensing video data, including high-resolution satellite, hyperspectral, and synthetic aperture radar video, have become key research areas in remote sensing.
Fang Liu, Jiahao Wang, Licheng Jiao, Jie Zhang, Hao Wang, Shuo Li, Lingling Li, Puhua Chen, Xu Liu, Wenping Ma, Shuang Wang, Shuyuan Yang, Xiangrong Zhang, Yaoyang Du, Qianyue Bao, Long Sun, Biao Hou   +16 more
doaj   +1 more source

High-Resolution SAR Change Detection Based on ROI and SPP Net

IEEE Access, 2019
With the resolution increasing, the structure information becomes more and more abundant in Synthetic Aperture Radar (SAR) images. The speckle noise generated by the coherent imaging mechanism, has a great influence on the detection accuracy and ...
Lingling Li, Zhengyan Yang, Licheng Jiao, Fang Liu, Xu Liu   +4 more
doaj   +1 more source

SSCV-GANs: Semi-Supervised Complex-Valued GANs for PolSAR Image Classification

IEEE Access, 2020
Polarimetric synthetic aperture radar (PolSAR) image classification has been widely applied in many fields, such as agriculture, meteorology and military.
Xiufang Li, Qigong Sun, Lingling Li, Xu Liu, Hongying Liu, Licheng Jiao, Fang Liu   +6 more
doaj   +1 more source

Deep Graph-Convolutional Generative Adversarial Network for Semi-Supervised Learning on Graphs

Remote Sensing, 2023
Graph convolutional networks (GCNs) are neural network frameworks for machine learning on graphs. They can simultaneously perform end-to-end learning on the attribute information and the structure information of graph data.
Nan Jia, Xiaolin Tian, Wenxing Gao, Licheng Jiao   +3 more
doaj   +1 more source

Perceptual Training in Ice Hockey: Bridging the Eyes-Puck Gap Using Virtual Reality

Sports Medicine - Open
Background Some cognitive and perceptual determinants of sports performance can be arduous to train using conventional methods. In ice-hockey, this is the case for the players’ ability to identify the largest exposed area (LEA), i.e., the goal area that ...
Jean-Luc Bloechle, Julien Audiffren, Quentin Sauthier, Quentin Mertenat, Yohann Waeber, David Aebischer, Jean-Pierre Bresciani   +6 more
doaj   +1 more source

A Survey of Deep Learning-Based Object Detection

IEEE Access, 2019
Object detection is one of the most important and challenging branches of computer vision, which has been widely applied in people’s life, such as monitoring security, autonomous driving and so on, with the purpose of locating instances of ...
Licheng Jiao, Fan Zhang, Fang Liu, Shuyuan Yang, Lingling Li, Zhixi Feng, Rong Qu   +6 more
doaj   +1 more source