A Mixed Markov model for change detection in aerial photos with large time differences

By C. Benedek, Tamás Szirányi. 2008

26 citations recorded by the source corpus.

Subfields: Atmospheric Science, Ecology, Media Technology

How researchers see this paper

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

In Atmospheric Science

1. Menglong Yan
2. Yang Zhan
3. Hongqi Wang
4. Kun Fu
5. Xian Sun
6. Xiaosong Qiu
7. Zhenwei Shi
8. Bertrand Le Saux

In Ecology

1. Pietro Perona
2. Sara Beery
3. Grant Van Horn
4. Yuxin Peng
5. Xiangteng He
6. Subhransu Maji
7. Feng Zhou
8. Yuanqing Lin

In Media Technology

1. Pietro Perona
2. Menglong Yan
3. Yang Zhan
4. Hongqi Wang
5. Sara Beery
6. Kun Fu
7. Xian Sun
8. Grant Van Horn

Citations in the corpus

• Recognition in Terra Incognita (2018, background): “[38] and [39] consider low frame rate change detection in aerial images, but in these cases there are often very few examples per location.”
• Change Detection Based on Deep Siamese Convolutional Network for Optical Aerial Images (2017, methodology): “This data set has already been used in [5], [6], [12], and [13].”