Multi-class geospatial object detection and geographic image classification based on collection of part detectors-Reference-Cited by-同舟云学术

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Multi-class geospatial object detection and geographic image classification based on collection of part detectors

Published:2014-12 Issue: Volume:98 Page:119-132
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Cheng Gong,Han Junwei,Zhou Peicheng,Guo Lei

Funder

National Science Foundation of China

Doctoral Fund of Ministry of Education of China

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference38 articles.

1. Learning Bayesian classifiers for scene classification with a visual grammar;Aksoy;IEEE Trans. Geosci. Remote Sens.,2005

2. Unsupervised building detection in complex urban environments from multispectral satellite imagery;Aytekın;Int. J. Remote Sens.,2012

3. Texture-based airport runway detection;Aytekin;IEEE Geosci. Remote Sens. Lett.,2013

4. Modeling and detection of geospatial objects using texture motifs;Bhagavathy;IEEE Trans. Geosci. Remote Sens.,2006

5. A visual search inspired computational model for ship detection in optical satellite images;Bi;IEEE Geosci. Remote Sens. Lett.,2012

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