Single satellite image dehazing via linear intensity transformation and local property analysis-Reference-Cited by-同舟云学术

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Single satellite image dehazing via linear intensity transformation and local property analysis

Published:2016-01 Issue: Volume:175 Page:25-39
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Ni Weiping,Gao Xinbo^ORCID,Wang Ying

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Microsoft Research Asia Project based Funding

Program for Changjiang Scholars and Innovative Research Team in University of China

Shaanxi Innovative Research Team for Key Science and Technology

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference28 articles.

1. Advances in very high resolution remote sensing;Benediktsson;Proc. IEEE,2013

2. Multi-class geospatial object detection and geographic image classification based on collection of part detectors;Cheng;ISPRS J. Photogramm. Remote Sens.,2014

3. Retrieval of biophysical vegetation parameters using simultaneous inversion of high resolution remote sensing imagery constrained by a vegetation index;Berjon;Precis. Agric.,2013

4. Spatiotemporal detection and analysis of urban villages in mega city regions of China using high-resolution remotely sense;Huang;IEEE Trans. Geosci. Remote Sens.,2015

5. Automatic landslide detection from remote-sensing imagery using a scene classification based on BoVW and pLSA;Cheng;Int. J. Remote Sens.,2013

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