Zobrazeno 1 - 10
of 351
pro vyhledávání: '"He, Chen"'
Publikováno v:
IEEE Transactions on Industrial Electronics. 69:1705-1716
In practice, offshore cranes are effective transportation tools used on ships. Different from land-fixed cranes, offshore cranes work in the noninertial frame, which are usually affected by different disturbances. Therefore, the control problem of of
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-18
Object detection is an essential task in computer vision. Recently, several convolution neural network (CNN)-based detectors have achieved a great success in natural scenes. However, for optical remote sensing images with a large scale of view, lower
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-19
The power of features considerably influences the classification performance of remote sensing scene classification (RSSC). Recently, deep convolutional neural networks (DCNNs) have been used to extract powerful scene features. Nevertheless, confusio
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Scene classification of optical remote sensing is a basic but important task because of its broad application in a range of fields. Due to the powerful feature extraction capabilities, convolutional neural networks (CNNs) have been widely used in opt
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-20
Publikováno v:
IEEE Transactions on Industrial Electronics. 69:539-548
For robot manipulators subject to unmeasurable/uncertain plant parameters, this article designs a new adaptive motion controller, which ensures positioning errors to converge to zero and provides accurate gravity compensation. Meanwhile, specific mot
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Change detection (CD) is an essential task in optical remote sensing, and it can be used to extract the valid information from sequential multitemporal images. However, since the character of long-term revisiting and very high resolution (VHR) develo
Publikováno v:
IEEE Internet of Things Journal. 8:14485-14500
This paper considers a cooperative Internet of Things (IoT) system with a source aiming to transmit randomly generated status updates to a designated destination as timely as possible under the help of a relay. We adopt a recently proposed concept, t
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 18:1721-1725
Extensive convolutional neural network (CNN)-based methods have been widely used in remote sensing scene classification. However, the dense operation and huge memory storage of the state-of-the-art models hinder their deployment on low-power embedded
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 18:1655-1659
Saliency analysis is an essential task in computer vision and aims to generate distinguishing foreground features from background features. However, due to complex structure distributions in large-scale optical remote sensing scenes, generating effec