2026
conference-abstract
OpenAlex
Xiaohong Li, Dewei Li, Pengpeng Li, Jiafen Xie
The combined effect of land subsidence and shoreline erosion (LSSE) increases the risk to the coastal zone. However, there are few relevant studies on the synergistic effect of these two processes on coastal zone risk. To fill this gap, we proposed a …
cn
(code pays fourni par la source)
2024
conference-paper
OpenAlex
Guohua Li, Liyuan Hou, Nan Li, Jiafen Xie et autres
Remote sensing water depth inversion has the advantages of large-scale comprehensive coverage, based on pixel scale, and uniform spatial distribution. It overcomes the shortcomings of traditional depth measurement methods and compensates for the disadvantages of traditional measurements in terms of uncontinuous, multi-point, …
cn
(code pays fourni par la source)
2024
conference-paper
OpenAlex
Ruyao Sun, Jiafen Xie, Shijun Ding, Guohua Li et autres
Owing to the interplay of natural forces and human-driven developmental endeavors, the existing continental coastline could no longer precisely depict the foundational state of Shandong Province’s coastline. Shandong Province embarked on a fresh round of continental coastline surveys. Based on remote sensing …
cn
(code pays fourni par la source)
2020
article
OpenAlex
Zhili Li, Kai Meng Xu, Jiafen Xie, Qi Bi et autres
The accuracy and efficiency of scene classification have immensely improved with the extensive application of deep convolutional neural networks (CNNs). However, standard CNNs classify images mostly based on the global features from the last fully connected layer, which may cause the negligence …
cn
(code pays fourni par la source)
2019
article
OpenAlex
Qi Bi, Kun Qin, Han Zhang, Jiafen Xie et autres
Deep learning methods have boosted the performance of a series of visual tasks. However, the aerial image scene classification remains challenging. The object distribution and spatial arrangement in aerial scenes are often more complicated than in natural image scenes. Possible solutions include …
cn
(code pays fourni par la source)
2019
conference-paper
OpenAlex
Jiafen Xie, Kai Meng Xu, Zhili Li, Qi Bi et autres
As the typical man-made objects, buildings play a special role in remote sensing images. This paper proposes a building scene recognition method based on deep multiple instance convolutional neural network. Scene classification is formulated as a multiple instance learning (MIL) problem in …
cn
(code pays fourni par la source)