|
|
|
|
|
Guochao Zhang, Weijia Cao and Yantao Wei
With the development of the hyperspectral imaging technique, hyperspectral image (HSI) classification is receiving more and more attention. However, due to high dimensionality, limited or unbalanced training samples, spectral variability, and mixing pixe...
ver más
|
|
|
|
|
|
|
|
|
|
|
Seongin Ahn, Dong-Woo Ryu and Sangho Lee
With the development of machine learning technology, research cases for spatial estimation through machine learning approach (MLA) in addition to the traditional geostatistical techniques are increasing. MLA has the advantage that spatial estimation is p...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wensheng Chen, Yinxi Niu, Zhenhua Gan, Baoping Xiong and Shan Huang
Enhancing information representation in electromyography (EMG) signals is pivotal for interpreting human movement intentions. Traditional methods often concentrate on specific aspects of EMG signals, such as the time or frequency domains, while overlooki...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yuting Chen, Pengjun Zhao, Yi Lin, Yushi Sun, Rui Chen, Ling Yu and Yu Liu
Precise identification of spatial unit functional features in the city is a pre-condition for urban planning and policy-making. However, inferring unknown attributes of urban spatial units from data mining of spatial interaction remains a challenge in ge...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yijiang Zhao, Xiao Tang, Zhuhua Liao, Yizhi Liu, Min Liu and Jian Lin
Building type prediction is a critical task for urban planning and population estimation. The growing availability of multi-source data presents rich semantic information for building type prediction. However, existing residential building prediction met...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jun Wu, Xinyi Sun, Lei Qu, Xilan Tian and Guangyu Yang
Recently, deep learning tools have made significant progress in hyperspectral image (HSI) classification. Most of existing methods implement a patch-based classification manner which may cause training test information leakage or waste labeled informatio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Liming Lao, Dangkui Du and Pengzhan Chen
This paper proposes a novel prediction model termed the social and spatial attentive generative adversarial network (SSA-GAN). The SSA-GAN framework utilizes a generative approach, where the generator employs social attention mechanisms to accurately mod...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiang Wu, Jiale Wang, Ao Zhan and Chengyu Wu
Falls are one of the main causes of elderly injuries. If the faller can be found in time, further injury can be effectively avoided. In order to protect personal privacy and improve the accuracy of fall detection, this paper proposes a fall detection alg...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yiling Tang, Shunliang Jiang, Shaoping Xu, Tingyun Liu and Chongxi Li
To improve the evaluation accuracy of the distorted images with various distortion types, an effective blind image quality assessment (BIQA) algorithm based on the multi-window method and the HSV color space is proposed in this paper. We generate multipl...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiang Wu, Dumidu S. Talagala, Wen Zhang and Thushara D. Abhayapala
The increasing importance of spatial audio technologies has demonstrated the need and importance of correctly adapting to the individual characteristics of the human auditory system, and illustrates the crucial need for humanoid localization systems for ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ruoyang Li, Shuping Xiong, Yinchao Che, Lei Shi, Xinming Ma and Lei Xi
Semantic segmentation algorithms leveraging deep convolutional neural networks often encounter challenges due to their extensive parameters, high computational complexity, and slow execution. To address these issues, we introduce a semantic segmentation ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xin Zuo, Jiao Chu, Jifeng Shen and Jun Sun
Combining disease categories and crop species leads to complex intra-class and inter-class differences. Significant intra-class difference and subtle inter-class difference pose a great challenge to high-precision crop disease classification tasks. To th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Han Fu, Xiangtao Fan, Zhenzhen Yan, Xiaoping Du, Hongdeng Jian and Chen Xu
Object detection in remote sensing images (RSIs) is currently one of the most important topics, which can promote the understanding of the earth and better serve for the construction of digital earth. In addition to single objects, there are many composi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jinn-Min Yang, Shih-Hsuan Wei
Pág. 68 - 72
Feature extraction (FE) or dimensionality reduction (DR) plays quite an important role in the field of pattern recognition. Feature extraction aims to reduce the dimensionality of the high-dimensional dataset to enhance the classification accuracy and fo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jingsheng Zhai, Zhaoxing Li, Fang Wu, Hang Xie and Bo Zou
|
|
|
|
|
|
|
|
|
|
|
Guiwen Lan, Qiang Zhang, Zhao Yang and Tong Li
|
|
|
|
|
|
|
|
|
|
|
Fatemeh AliMardani,Reza Boostani,Benjamin Blankertz
Pág. 79 - 85
Schizophrenia (SZ) and bipolar mood disorder (BMD) patients demonstrate some similar signs and symptoms; therefore, distinguishing those using qualitative criteria is not an easy task especially when these patients experience manic or hallucination phase...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alireza Hajiheidari, Mahmoud Reza Delavar and Abbas Rajabifard
Enriching and updating maps are among the most important tasks of any urban management organization for informed decision making. Urban cadastral map enrichment is a time-consuming and costly process, which needs an expert?s opinion for quality control. ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sihan Ni, Zhongyi Wang, Yuanyuan Wang, Minghao Wang, Shuqi Li and Nan Wang
Geographically neural network weighted regression is an improved model of GWR combined with a neural network. It has a stronger ability to fit nonlinear functions, and complex geographical processes can be modeled more fully. GNNWR uses the distance metr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mingyang Yu, Haiqing Xu, Fangliang Zhou, Shuai Xu and Hongling Yin
Accurate and efficient classification maps of urban functional zones (UFZs) are crucial to urban planning, management, and decision making. Due to the complex socioeconomic UFZ properties, it is increasingly challenging to identify urban functional zones...
ver más
|
|
|
|
|
|