Search Results - "Yang, Yetao"

A surface graph based deep learning framework for large-scale urban mesh semantic segmentation by Yang, Yetao, Tang, Rongkui, Xia, Mengjiao, Zhang, Chen

“…•A deep learning model integrating topography and texture for mesh segmentation.•Surface graph indicated mesh topography is employed to structure the mesh…”
Get full text

A hierarchical deep neural network with iterative features for semantic labeling of airborne LiDAR point clouds by Yang, Yetao, Tang, Rongkui, Wang, Jinglei, Xia, Mengjiao

“…Airborne LiDAR point clouds classification has been a challenging task due to the characteristics of point clouds and the complexity of the urban environment…”
Get full text

A Texture Integrated Deep Neural Network for Semantic Segmentation of Urban Meshes by Yang, Yetao, Tang, Rongkui, Xia, Mengjiao, Zhang, Chen

“…Three-dimensional (3D) geo-information is essential for many urban related applications. Point cloud and mesh are two common representations of the 3D urban…”
Get full text

Supervised Sub-Pixel Mapping for Change Detection from Remotely Sensed Images with Different Resolutions by Wu, Ke, Du, Qian, Wang, Yi, Yang, Yetao

“…Due to the relatively low temporal resolutions of high spatial resolution (HR) remotely sensed images, land-cover change detection (LCCD) may have to use…”
Get full text

Two-Layered Graph-Cuts-Based Classification of LiDAR Data in Urban Areas by Yang, Yetao, Wu, Ke, Wang, Yi, Chen, Tao, Wang, Xiang

“…Classifying the LiDAR (Light Detection and Ranging) point cloud in the urban environment is a challenging task. Due to the complicated structures of urban…”
Get full text

Classification of Complex Urban Fringe Land Cover Using Evidential Reasoning Based on Fuzzy Rough Set: A Case Study of Wuhan City by Yang, Yetao, Wang, Yi, Wu, Ke, Yu, Xin

“…Urban fringe is the transition zone fine grained with urban and non-urban land cover types. The complex landscape mosaic in this area challenges the land cover…”
Get full text

integrated spatio-temporal classification method for urban fringe change detection analysis by Yang, Yetao, Zhou, Qiming, Gong, Jianya, Wang, Yi

“…The urban fringe is the transition zone between urban land use and rural land use. It represents the most active part of the urban expansion process. Change…”
Get full text

Multi-scale landscape pattern analysis based on high spatial resolution imagery segmentation by Yang Yetao, Wang Yingying

“…The development of high spatial resolution remote sensing, such as IKONOS and QuickBird, makes it possible to describe the landscape pattern in the smaller…”
Get full text

Gradient analysis of landscape spatial and temporal pattern changes in Beijing metropolitan area by Yang, YeTao, Zhou, QiMing, Gong, JianYa, Wang, YingYing

“…The gradient based landscape metrics analysis is now widely used to study the landscape pattern changes in respond to the urbanization. In order to discover…”
Get full text

A deep-learning model for semantic segmentation of meshes from UAV oblique images by Tang, Rongkui, Xia, Mengjiao, Yang, Yetao, Zhang, Chen

“…Though mesh generated by UAV-based oblique photogrammetry has revolutionized the large urban scene data representation, its semantic segmentation still…”
Get full text

Spectral-spatial adaptive and well-balanced flow-based anisotropic diffusion for multispectral image denoising by Wang, Yi, Yang, Yetao, Chen, Tao

“…•Novel spectral-spatial adaptive and WBF-based multispectral AD model is proposed.•A new sigmoid function is used to balance the two terms in the proposed…”
Get full text

Gradient and Laplacian-Based Hyperspectral Anisotropic Diffusion by Wang, Yi, Wu, Ke, Yang, Yetao, Chen, Tao

“…To improve accuracy and efficiency of object detection and classification with hyperspectral imagery (HSI), we propose a novel smoothing algorithm by coupling…”
Get full text