A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
Table of contents
2020
IEEE Transactions on Geoscience and Remote Sensing
Preserved Fulltext
He 2352 Deep Feature Fusion via Two-Stream Convolutional Neural Network for Hyperspectral Image Classification ......... ................................................................................ ...
Here, we proposed a voxel-based convolutional neural network (VCNN) for maize stem and leaf classification and segmentation. Lidar data of individual maize was voxelized and used as input of VCNN. ...
doi:10.1109/tgrs.2020.2973519
fatcat:pus5uerid5ggdhfoxc5lts3p6y
Table of contents
2020
IEEE Transactions on Geoscience and Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Cui 6020 A Patch-to-Pixel Convolutional Neural Network for Small Ship Detection With PolSAR Images ....................... ......................................................................... K. ...
Li 6664 Content-Guided Convolutional Neural Network for Hyperspectral Image Classification ................................... .......................................................................... ...
doi:10.1109/tgrs.2020.3006605
fatcat:g45mqghjmjenlfd2ydw7nzbcju
2019 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 57
2019
IEEE Transactions on Geoscience and Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
., Refo-cusing and Zoom-In Polar Format Algorithm for Curvilinear Spotlight SAR Imaging on Arbitrary Region of Interest; TGRS Oct. 2019 7995-8010 Hu, T., see Kang, Z., TGRS Jan. 2019 181-193 Hu, T., ...
., +, TGRS March 2019 1629-1636 Polarimetric Convolutional Network for PolSAR Image Classification. ...
., +, TGRS Jan. 2019 3-13
Polarimetric Convolutional Network for PolSAR Image Classification. Liu,
X., +, TGRS May 2019 3040-3054
Seismic Phase Picking Using Convolutional Networks. ...
doi:10.1109/tgrs.2020.2967201
fatcat:kpfxoidv5bgcfo36zfsnxe4aj4
Table of contents
2019
IEEE Transactions on Geoscience and Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Zou 352 Variational Learning of Mixture Wishart Model for PolSAR Image Classification ......................................... ......................................................................... ...
Nehorai 250 A Robust Framework for Covariance Classification in Heterogeneous Polarimetric SAR Images and Its Application to L-Band Data ................................................................ ...
doi:10.1109/tgrs.2018.2886674
fatcat:jolrawv3zbf2tcablkav2tcddy
Table of Contents
2020
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
University of Science and Technology, China TU2-R5.7: A DIRECTIONAL MESSAGE PROPAGATION CONVOLUTIONAL NEURAL .............................................. 17 NETWORK FOR HYPERSPECTRAL IMAGES CLASSIFICATION ...
IMAGE CLASSIFICATION BASED ON OPTIMAL FEATURE AND .......................................... 1735 CONVOLUTION NEURAL NETWORK Ping Han, Zetao Chen, Yishuang Wan, Tianjin Key Lab for Advanced Signal Processing ...
FR1-R18: NETWORK BASED CLASSIFIER ...
doi:10.1109/igarss39084.2020.9323828
fatcat:6aittajt35gufeaugcmemu5cya
IEEE Access Special Section Editorial: Mission-Critical Sensors and Sensor Networks (MC-SSN)
2021
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Algorithms are sought for fused and/or coherent cross-platform radio frequency (RF) sensing. ...
The response to the Call for Papers was overwhelming, with 216 articles submitted from worldwide. During the review ...
The article ''Integration convolutional neural network for person re-identification in camera networks,'' by Zhang et al., proposes a novel deep model named integration convolutional neural network ( ...
doi:10.1109/access.2021.3068830
fatcat:mcmdtikg2vfqvokgu7pnm6xofq
Contents
2020
2020 International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
After ten years of continuous holding, as a conference focusing on electromagnetics related topics, the iWEM becomes a small-scaled but international platform for scientists and engineers to exchange their ...
As the general chairs, we would like to express our sincere appreciation to all the authors, speakers, and reviewers over the world together with the committee members for great efforts to substantiate ...
We also thank the National Center for High-speed Computing (NCHC), Taiwan for software support. ...
doi:10.1109/iwem49354.2020.9237401
fatcat:soy4ile3tnaqdjgnvkm27dy4dq
Novel methods for the Semantic Segmentation of Remote Sensing Images
2021
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Recent studies on the semantic segmentation of RSIs have achieved great progress with the use of Convolutional Neural Networks (CNNs). ...
First, we propose a Local Attention Network (LANet) for the semantic segmentation of VHR RSIs. ...
Moreover, the polarimetric characteristics of PolSAR images are not modelled in the proposed method. ...
doi:10.15168/11572_322099
fatcat:hqhywig2srfx3amjuct32ane4e