Jun Lu

Affiliations:
  • National University of Defense Technology, School of Electronic Science and Engineering, Remote Sensing Information Processing Laboratory, Changsha, China (PhD 2000)


According to our database1, Jun Lu authored at least 13 papers between 2008 and 2016.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

2008
2009
2010
2011
2012
2013
2014
2015
2016
0
1
2
3
4
5
6
2
1
1
2
5
1
1

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2016
Registration for SAR and optical images based on straight line features and mutual information.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Improving Pixel-Based Change Detection Accuracy Using an Object-Based Approach in Multitemporal SAR Flood Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

SAR Target Recognition via Joint Sparse Representation of Monogenic Signal.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Improving urban impervious surface classification by combining Landsat and PolSAR images: A case study in Kitchener-Waterloo, Ontario, Canada.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

A feature combining spatial and structural information for SAR image classification.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Parameter estimation for SAR moving target detection using Fractional Fourier Transform.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Detecting floods accurately in SAR images without the interference of the reference image.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

SAR Azimuth ambiguities removal for ship detection using time-frequency techniques.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Nonnegative and local linear regression for classification in SAR imagery.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Joint sparse representation of monogenic components: With application to automatic target recognition in SAR imagery.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2010
An improved dynamic structure-based neural networks determination approaches to simulation optimization problems.
Neural Comput. Appl., 2010

A scattering similarity based classification scheme for land applications of polarimetric SAR image.
Proceedings of the International Conference on Image Processing, 2010

2008
An Approach on Analyzing Histogram and Selecting Threshold.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008


  Loading...