Feature Fusion With Predictive Weighting for Spectral Image Classification and Segmentation

Yu Zhang; Cong Phuoc Huynh; King Ngi Ngan

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Feature Fusion With Predictive Weighting for Spectral Image Classification and Segmentation

机译：特征融合与预测加权的光谱图像分类和分割

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摘要

In this paper, we propose a spatial–spectral feature fusion model with a predictive feature weighting mechanism and demonstrate its applications to the problems of hyperspectral image classification and segmentation. To address these problems, we learn a

机译：在本文中，我们提出了一种具有预测特征加权机制的空间光谱特征融合模型，并展示了其在高光谱图像分类和分割问题中的应用。为了解决这些问题，我们学习了

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来源
《IEEE Transactions on Geoscience and Remote Sensing》 |2019年第9期|6792-6807|共16页
作者
Yu Zhang; Cong Phuoc Huynh; King Ngi Ngan;
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作者单位

Electronic Engineering Department The Chinese University of Hong Kong Hong Kong;

Amazon Lab126 Sunnyvale CA USA;

University of Electronic Science and Technology of China Chengdu China;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Feature extraction; Image segmentation; Hyperspectral imaging; Task analysis; Training; Convolution;

机译：特征提取;图像分割高光谱成像;任务分析;训练;卷积;

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专利

1. D-SS Frame: deep spectral-spatial feature extraction and fusion for classification of panchromatic and multispectral images [J] . Teffahi Hanane, Yao Hongxun 高技术通讯（英文版） . 2018,第004期

机译：D-SS帧：深光谱空间特征提取和融合，用于全色和多光谱图像分类
2. Hyperspectral Image Classification Based on Active Learning and Spectral-Spatial Feature Fusion Using Spatial Coordinates [J] . Mu Caihong, Liu Jian, Liu Yi, Quality Control, Transactions . 2020,第期

机译：基于主动学习的高光谱图像分类和使用空间坐标的光谱 - 空间特征融合
3. Deep CNN-based hyperspectral image classification using discriminative multiple spatial-spectral feature fusion [J] . Hao Guo, Jianjun Liu, Zhiyong Xiao, Remote sensing letters . 2020,第7a9期

机译：基于深度的基于CNN的高光谱图像分类，使用鉴别多个空间光谱特征融合
4. Spectral Magnitude and Spectral Derivative Feature Fusion for Improved Classification of Hyperspectral Images [C] . Demir Begum, Erturk Sarp International Geoscience Remote Sensing Symposium . 2008

机译：用于改进高光谱图像分类的光谱幅度和光谱衍生特征融合
5. Maximum likelihood techniques for joint segmentation -classification of multi-spectral chromosome images. [D] . Schwartzkopf, Wade Carl. 2002

机译：联合分割的最大似然技术-多光谱染色体图像的分类。
6. A Hyperspectral Image Classification Approach Based on Feature Fusion and Multi-Layered Gradient Boosting Decision Trees [O] . Shenyuan Xu, Size Liu, Hua Wang, 2021

机译：基于特征融合和多层梯度升压决策树的高光谱图像分类方法
7. Adaptive Weighting Feature Fusion Approach Based on Generative Adversarial Network for Hyperspectral Image Classification [O] . Hongbo Liang, Wenxing Bao, Xiangfei Shen 2021

机译：基于生成对抗网络的自适应加权特征融合方法进行高光谱图像分类

Feature Fusion With Predictive Weighting for Spectral Image Classification and Segmentation

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