.png){kind=icon}
返回
A Hyperspectral Target Detection Framework With Subraction Pixel Pair Features
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2018.2865963.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In recent years, due to its strong nonlinear mapping and research capacities, the convolutional neural network (CNN) has been widely used in the field of hyperspectral image (HSI) processing. Recently, pixel pair features (PPFs) and spatial PPFs (SPPFs) for HSI classification have served as the new tools for feature extraction. In this paper, on top of PPF, improved subtraction pixel pair features (subtraction-PPFs) are applied for HSI target detection. Unlike original PPF and SPPF, the subtraction-PPF considers target classes to afford the CNN, a target detection function. Using subtraction-PPF, a sufficiently large number of samples are obtained to ensure the excellent performance of the multilayer CNN. For a testing pixel, the input of the trained CNN is the spectral difference between the central pixel and its adjacent pixels. When a test pixel belongs to the target, the output score will be close to the target label. To verify the effectiveness of the proposed method, aircrafts and vehicles are used as targets of interest, while another 27 objects are chosen as background classes (e.g., vegetation and runways). Our experimental results on four images indicate that the proposed detector outperforms classic hyperspectral target detection algorithms.
Keyword:
Target detection
hyperspectral imagery
deep learning
convolutional neural network
subtraction pixel pair features
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
Structural risk and limits on agency among exotic dancers: HIV risk practices in the exotic dance club性感和舞者群体的结构风险与代理限制：脱衣舞俱乐部中的HIV风险行为OAAI
OAAI分享收藏Simultaneous Spectral-Spatial Feature Selection and Extraction for Hyperspectral Images高光谱图像光谱-空间特征同步选择与提取OAAI
OAAI分享收藏Image denoising via sparse and redundant representations over learned dictionaries通过学习字典上的稀疏和冗余表示进行图像去噪
PREAI
分享收藏Imaging spectroscopy and the Airborne Visible Infrared Imaging Spectrometer (AVIRIS)成像光谱与机载可见红外成像光谱仪 (AVIRIS)
PREAI
分享收藏A Hyperspectral Image Classification Framework with Spatial Pixel Pair Features基于空间像素对特征的高光谱图像分类框架.png)
SENSORSOAAI
SENSORSIF3.5
OAAI分享收藏
查看更多内容