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An energy-driven total variation model for segmentation and classification of high spatial resolutio
ISSN号:1545-598X
期刊名称:IEEE Geoscience and Remote Sensing Letters
时间:2013.1
页码:125-129
相关项目:新型高光谱遥感影像的像素-结构-对象多层特征分类模型研究
作者:
Zhang Qian|Huang Xin|Zhang Liangpei|
同期刊论文项目
新型高光谱遥感影像的像素-结构-对象多层特征分类模型研究
期刊论文 22
会议论文 6
同项目期刊论文
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采用张量子空间的高光谱影像多维滤波算法
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Multiple Morphological Profiles From Multicomponent-Base Images for Hyperspectral Image Classificati
New Postprocessing Methods for Remote Sensing Image Classification: A Systematic Study
A multilevel decision fusion approach for urban mapping using very high-resolution multi/hyperspectr
A Multichannel Gray Level Co-Occurrence Matrix for Multi/Hyperspectral Image Texture Representation
A novel building change index for automatic building change detection from high-resolution remote se
Fault-tolerant building change detection from urban high-resolution remote sensing imagery
An SVM ensemble approach combining spectral, structural, and semantic features for the classificatio
Hyperspectral image noise reduction based on rank-1 tensor decomposition
Building Change Detection From Multitemporal High-Resolution Remotely Sensed Images Based on a Morph
A Novel Clustering-Based Feature Representation for the Classification of Hyperspectral Imagery
Quality Assessment of Panchromatic and Multispectral Image Fusion for the ZY-3 Satellite: From an In
Spatiotemporal Detection and Analysis of Urban Villages in Mega City Regions of China Using High-Res
A multi-index learning approach for classification of high-resolution remotely sensed images over ur
遥感影像的张量表达与流形学习方法研究