94 citations · 179 across the 6 of their papers we have counts for
6 papers
Unsupervised domain adaptation semantic segmentation of high-resolution remote sensing imagery with invariant domain-level prototype memory
Jingru Zhu, Ya Guo, Geng Sun +3
Semantic segmentation is a key technique involved in automatic interpretation of high-resolution remote sensing (HRS) imagery and has drawn much attention in the remote sensing com…
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…
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…
RSI-CB: A Large Scale Remote Sensing Image Classification Benchmark via Crowdsource Data
Haifeng Li, Xin Dou, Chao Tao +5
In recent years, deep convolutional neural network (DCNN) has seen a breakthrough progress in natural image recognition because of three points: universal approximation ability via…
Queue Theory based Response Time Analyses for Geo-Information Processing Chain
Jie Chen, Jian Peng, Min Deng +2
Typical characteristics of remote sensing applications are concurrent tasks, such as those found in disaster rapid response. The existing composition approach to geographical infor…
On the Neuron Response Features of Convolutional Neural Networks for Remote Sensing Image
Jie Chen, Min Deng, Haifeng Li
In this paper, some patterns of the Neuron Response of deep Convolutional Neural Networks were observed.