684 citations · 872 across the 5 of their papers we have counts for
5 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…
DASNet: Dual attentive fully convolutional siamese networks for change detection of high resolution satellite images
Jie Chen, Ziyang Yuan, Jian Peng +5
Change detection is a basic task of remote sensing image processing. The research objective is to identity the change information of interest and filter out the irrelevant change i…
Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification
Jie Chen, Haozhe Huang, Jian Peng +5
Remote sensing image scene classification is a fundamental but challenging task in understanding remote sensing images. Recently, deep learning-based methods, especially convolutio…
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…
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.