中文版 | English

在结果中检索

OPT OpenIR

浏览/检索结果: 共12条，第1-10条 帮助

限定条件                    
已选(0)清除 条数/页：   排序方式：
Coastal Zone Extraction Algorithm Based on Multilayer Depth Features for Hyperspectral Images 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2023, 卷号: 61
作者:  Qiu, Shi;  Ye, Huping;  Liao, Xiaohan
Adobe PDF(2142Kb)  |  收藏  |  浏览/下载：62/0  |  提交时间：2023/11/10
3-D convolutional neural network (CNN)  depth characteristic  hyperspectrum  multilevel  remote sensing  squeeze and excitation network (SENet)  
Multiple Source Domain Adaptation for Multiple Object Tracking in Satellite Video 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2023, 卷号: 61, 页码: 1-11
作者:  Zheng, Xiangtao;  Cui, Haowen;  Lu, Xiaoqiang
Adobe PDF(4608Kb)  |  收藏  |  浏览/下载：36/0  |  提交时间：2024/01/03
Cross-domain recognition  deep neural networks  multiple object tracking (MOT)  object detection  satellite video  
Cross-Attention Spectral-Spatial Network for Hyperspectral Image Classification 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2022, 卷号: 60
作者:  Yang, Kai;  Sun, Hao;  Zou, Chunbo;  Lu, Xiaoqiang
Adobe PDF(3919Kb)  |  收藏  |  浏览/下载：165/2  |  提交时间：2022/01/25
Hyperspectral image classification  convolutional neural networks  spectral attention  spatial attention  
Multisource Remote Sensing Data Classification With Graph Fusion Network 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2021
作者:  Du, Xingqian;  Zheng, Xiangtao;  Lu, Xiaoqiang;  Doudkin, Alexander A.
Adobe PDF(3121Kb)  |  收藏  |  浏览/下载：205/0  |  提交时间：2021/02/08
Classification  deep learning  hyperspectral image (HSI)  light detection and ranging (LiDAR)  remote sensing  
Spectral-Spatial Attention Network for Hyperspectral Image Classification 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2020, 卷号: 58, 期号: 5, 页码: 3232-3245
作者:  Sun, Hao;  Zheng, Xiangtao;  Lu, Xiaoqiang;  Wu, Siyuan
Adobe PDF(3278Kb)  |  收藏  |  浏览/下载：338/3  |  提交时间：2020/05/20
Attention  convolutional neural network (CNN)  hyperspectral image (HSI) classification  spectral–spatial feature extraction  
Multisource Compensation Network for Remote Sensing Cross-Domain Scene Classification 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2020, 卷号: 58, 期号: 4, 页码: 2504-2515
作者:  Lu, Xiaoqiang;  Gong, Tengfei;  Zheng, Xiangtao
Adobe PDF(2825Kb)  |  收藏  |  浏览/下载：182/3  |  提交时间：2020/04/23
Cross-domain scene classification  domain adaptation  multisource compensation  remote sensing scene classification  
Exploiting Embedding Manifold of Autoencoders for Hyperspectral Anomaly Detection 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2020, 卷号: 58, 期号: 3, 页码: 1527-1537
作者:  Lu, Xiaoqiang;  Zhang, Wuxia;  Huang, Ju
Adobe PDF(1670Kb)  |  收藏  |  浏览/下载：168/2  |  提交时间：2020/03/23
Autoencoder (AE)  global reconstruction  hyperspectral imagery (HSI)  hyperspetral anomaly detection  local reconstruction  manifold learning  
A Deep Scene Representation for Aerial Scene Classification 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: 57, 期号: 7, 页码: 4799-4809
作者:  Zheng, Xiangtao;  Yuan, Yuan;  Lu, Xiaoqiang
Adobe PDF(3061Kb)  |  收藏  |  浏览/下载：206/3  |  提交时间：2019/07/17
Aerial scene classification  convolutional neural networks (CNNs)  Fisher vector (FV)  multiscale representation  
Similarity Constrained Convex Nonnegative Matrix Factorization for Hyperspectral Anomaly Detection 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: 57, 期号: 7, 页码: 4810-4822
作者:  Zhang, Wuxia;  Lu, Xiaoqiang;  Li, Xuelong
Adobe PDF(2142Kb)  |  收藏  |  浏览/下载：204/0  |  提交时间：2019/07/17
Convex nonnegative matrix factorization (CNMF)  hyperspectral anomaly detection  hyperspectral imagery  similarity constrained  
Using Triple Collocation Observations to Estimate Satellite Measurement Noise 期刊论文
IEEE Transactions on Geoscience and Remote Sensing
作者:  Chen, Jun;  Quan, Wenting;  Wang, Kexin;  Han, Qijing;  Liu, Jia;  Xing, Qianguo;  Xu, Na
Adobe PDF(138188Kb)  |  收藏  |  浏览/下载：71/0  |  提交时间：2021/04/13
Instrument noise  instrumental noise  ocean color  remote sensing  triple collocation observation (TCO) algorithm