Object Detection in High-Resolution Remote Sensing Images Using Rotation Invariant Parts Based Model

By Wanceng Zhang, Xian Sun, Kun Fu, Chenyuan Wang, Hongqi Wang. 2014

125 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition, Remote Sensing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Yang Long

In Computer Vision and Pattern Recognition

1. Yang Long
2. Qing Liu
3. Yiping Gong
4. Zhifeng Xiao
5. Chaopeng Shen
6. Gong Cheng
7. Ke Li

Citations in the corpus

• A Survey on Object Detection in Optical Remote Sensing Images (2016, unknown): “…(Chen et al., 2011a, 2013; Qian et al., 2013; Tao et al., 2012), and object detection in RSIs (Chen et al., 2011b, c; Cheng et al., 2014c; Du and Zhang, 2014; Han et al., 2014; Liu and Shi, 2014; Yokoya and Iwasaki, 2015; Zhang et al., 2014a; Zhang et al., 2015c; Zhang et al., 2015d).”
• Accurate Object Localization in Remote Sensing Images Based on Convolutional Neural Networks (2017, background): “The most popular mid-level feature is the part-based model [8]–[12].”