98 citations · 209 across the 17 of their papers we have counts for
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cs.CV2017
On the Selective and Invariant Representation of DCNN for High-Resolution Remote Sensing Image Recognition
Jie Chen, Chao Yuan, Min Deng +3
Human vision possesses strong invariance in image recognition. The cognitive capability of deep convolutional neural network (DCNN) is close to the human visual level because of hi…
cs.SI2017★ 1 cited
A Probabilistic Embedding Clustering Method for Urban Structure Detection
Xin Lin, Haifeng Li, Yan Zhang +3
Urban structure detection is a basic task in urban geography. Clustering is a core technology to detect the patterns of urban spatial structure, urban functional region, and so on.…
cs.CV2017★ 5 cited
What do We Learn by Semantic Scene Understanding for Remote Sensing imagery in CNN framework?
Haifeng Li, Jian Peng, Chao Tao +2
Recently, deep convolutional neural network (DCNN) achieved increasingly remarkable success and rapidly developed in the field of natural image recognition. Compared with the natur…