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Ruonan Gao, Fengxiang Jin, Min Ji and Yanan Zuo
Wheat stripe rust poses a serious threat to the quality and yield of wheat crops. Typically, the occurrence data of wheat stripe rust is characterized by small sample sizes, and the current research on severity identification lacks high-precision methods...
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Everton Castelão Tetila,Paula Martin de Moraes,Michel Constantino,Reginaldo Brito da Costa,Fabio Martins Ayres,Gabriela Oshiro Reynaldo,Neire Aparecida Colman,Flávia Cristina Albuquerque Palhares Machado,Karen Giuliano Soares,Maria Madalena Dib Mereb Greco,Hemerson Pistori
Neste artigo propomos um sistema de visão computacional para classificar áreas permeáveis e impermeáveis de uma região delimitada para estudo compreendendo a Microbacia do Segredo e microbacias adjacentes, localizada no município de Campo Grande/MS, Bras...
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Chengwei Fei, Jiongran Wen, Lei Han, Bo Huang and Cheng Yan
The lack of high-quality, highly specialized labeled images, and the expensive annotation cost are always critical issues in the image segmentation field. However, most of the present methods, such as deep learning, generally require plenty of train cost...
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Haolin Xue, Xiang Chen, Ruo Zhang, Peng Wu, Xudong Li and Yuanchang Liu
Unmanned surface vehicles (USVs) are receiving increasing attention in recent years from both academia and industry. To make a high-level autonomy for USVs, the environment situational awareness is a key capability. However, due to the richness of the fe...
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Xuejia Sang, Linfu Xue, Xiangjin Ran, Xiaoshun Li, Jiwen Liu and Zeyu Liu
High-resolution geological mapping is an important supporting condition for mineral and energy exploration. However, high-resolution geological mapping work still faces many problems. At present, high-resolution geological mapping is still generated by e...
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Xuefeng Yi, Rongchun Zhang, Hao Li and Yuanyuan Chen
Multi-Source RS data integration is a crucial technology for rock surface extraction in geology. Both Terrestrial laser scanning (TLS) and Photogrammetry are primary non-contact active measurement techniques. In order to extract comprehensive and accurat...
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In this paper, we propose a semantic segmentation method based on superpixel region merging and convolutional neural network (CNN), referred to as regional merging neural network (RMNN). Image annotation has always been an important role in weakly-superv...
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Fenglei Ren, Xin He, Zhonghui Wei, Lei Zhang, Jiawei He, Zhiya Mu and You Lv
Road detection is a crucial research topic in computer vision, especially in the framework of autonomous driving and driver assistance. Moreover, it is an invaluable step for other tasks such as collision warning, vehicle detection, and pedestrian detect...
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Ovidiu Csillik, John Cherbini, Robert Johnson, Andy Lyons and Maggi Kelly
Remote sensing is important to precision agriculture and the spatial resolution provided by Unmanned Aerial Vehicles (UAVs) is revolutionizing precision agriculture workflows for measurement crop condition and yields over the growing season, for identify...
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Wei Zhao, Yi Fu, Xiaosong Wei and Hai Wang
This paper proposed an improved image semantic segmentation method based on superpixels and conditional random fields (CRFs). The proposed method can take full advantage of the superpixel edge information and the constraint relationship among different p...
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