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西北工业大学 国内
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科研成果
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王 琦
Professor
光电与智能研究院
h-index
13285
引用
60
H-指数
根据储存在 Pure 的刊物以及来自 Scopus 的引用文献数量计算
2009
2025
每年的科研成果
综述
指纹
网络
科研成果
(302)
相似简介
(12)
指纹
深入其中 Qi Wang 为活跃的研究主题。这些主题标签来自此人的成果。它们共同形成唯一的指纹。
分类
加权
按字母排序
Computer Science
Remote Sensing Image
100%
Hyperspectral Image
98%
Experimental Result
96%
Convolutional Neural Network
59%
Deep Learning Method
51%
Object Detection
43%
super resolution
38%
Feature Extraction
35%
Band Selection
33%
Anomaly Detection
29%
Detection Performance
28%
Representation Learning
26%
Computer Vision
25%
Image Classification
25%
Attention (Machine Learning)
25%
Dimensionality Reduction
24%
Annotation
24%
Neural Network
23%
Image Segmentation
23%
Image Captioning
23%
Detection Accuracy
20%
Feature Fusion
20%
Matrix Factorization
19%
remote sensing imagery
19%
Synthetic Data
19%
Domain Adaptation
18%
Discriminative Feature
17%
local feature
17%
Linear Discriminant Analysis
16%
Person Re-Identification
16%
Clustering Method
16%
Discriminant Analysis
15%
Semantic Feature
14%
Sparse Representation
14%
Video Sequences
14%
Objective Function
13%
Optical Tracking
13%
Clustered Data
13%
Unified Framework
13%
Spatial Information
13%
Detection Result
13%
Similarity Graph
13%
Fully Convolutional Network
13%
Road Detection
13%
Superior Performance
13%
Regularization
12%
Detection Method
12%
Art Performance
12%
Feature Selection
12%
Semisupervised Learning
11%
Engineering
Hyperspectral Image
65%
Experimental Result
46%
Multiscale
34%
Convolutional Neural Network
19%
Deep Learning Method
18%
Similarity
15%
Computervision
15%
Dimensionality
14%
State-of-the-Art Method
13%
Anomaly Detection
13%
Road
12%
Sparsity
12%
Selection Method
11%
Scale Variation
11%
Sensing Imagery
11%
Image Classification
11%
Pixel Level
11%
Road Detection
9%
Feature Extraction
9%
Objective Function
8%
Level Feature
8%
Data Point
8%
Optimal Band
8%
Final Result
8%
Aspect Ratio
8%
Computational Complexity
7%
Extractor
7%
Image Data
7%
Motion Blur
6%
Based Segmentation Method
6%
Real Scene
6%
Camera Parameter
6%
Joints (Structural Components)
6%
Hyperspectral Data
6%
Matrix Factorization
6%
Image Fusion
6%
Multispectral Image
6%
Geometric Feature
6%
Truncation
6%
Image Synthesis
6%
High Resolution
6%
Limitations
6%
Detection Algorithm
5%
Illustrates
5%
Gaussians
5%
Spatial Information
5%
Detection Performance
5%
