|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Cheng Li, Baolong Guo, Geng Wang, Yan Zheng, Yang Liu and Wangpeng He
Superpixels intuitively over-segment an image into small compact regions with homogeneity. Owing to its outstanding performance on region description, superpixels have been widely used in various computer vision tasks as the substitution for pixels. Ther...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nico Valentini and Yann Balouin
Coastal video monitoring has proven to be a valuable ground-based technique to investigate ocean processes. Presently, there is a growing need for automatic, technically efficient, and inexpensive solutions for image processing. Moreover, beach and coast...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Menghua Xia, Wenjun Yan, Yi Huang, Yi Guo, Guohui Zhou and Yuanyuan Wang
Reliable detection of the media-adventitia border (MAB) and the lumen-intima border (LIB) in intravascular ultrasound (IVUS) images remains a challenging task that is of high clinical interest. In this paper, we propose a superpixel-wise fuzzy clustering...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lei Wang, Yang Chen, Luliang Tang, Rongshuang Fan and Yunlong Yao
Cloud and snow detection is one of the most significant tasks for remote sensing image processing. However, it is a challenging task to distinguish between clouds and snow in high-resolution multispectral images due to their similar spectral distribution...
ver más
|
|
|
|
|
|