Multi-layered PCM Method for Detecting Occluded Object in Secluded Remote Sensing Image
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-8563-8_63
Reference8 articles.
1. Cheng G, Han J, Zhou P, Guo L (2014) Multi-class geospatial object detection and geographic image classification based on collection of part detectors. ISPRS J Photogramm Remote Sens 98:119–132
2. Yu Y, Guan H, Zai D, Ji Z (2016) Rotation-and-scale-invariant airplane detection in high-resolution satellite images based on deep-Houghforests. ISPRS J Photogramm Remote Sens 112:50–64
3. Han J et al (2014) Efficient, simultaneous detection of multi-class geospatial targets based on visual saliency modeling and discriminative learning of sparse coding. ISPRS J Photogramm Remote Sens 89:37–48
4. Cheng G et al (2013) Object detection in remote sensing imagery using a discriminatively trained mixture model. ISPRS J Photogramm Remote Sens 85:32–43
5. Yao X, Han J, Guo L, Bu S, Liu Z (2015) A coarse-to-fine model for airport detection from remote sensing images using target-oriented visual saliency and CRF. Neurocomputing 164:162–172
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