Results 1 to 10 of about 369,167 (143)

Object-Based Change Detection in Urban Areas: The Effects of Segmentation Strategy, Scale, and Feature Space on Unsupervised Methods

Remote Sensing, 2016
Object-based change detection (OBCD) has recently been receiving increasing attention as a result of rapid improvements in the resolution of remote sensing data.
Lei Ma, Manchun Li, Thomas Blaschke, Xiaoxue Ma, Dirk Tiede, Liang Cheng, Zhenjie Chen, Dong Chen   +7 more
doaj   +3 more sources

SADNet: Space-aware DeepLab network for Urban-Scale point clouds semantic segmentation

International Journal of Applied Earth Observations and Geoinformation
Semantic segmentation of urban-scale point clouds can effectively assist people in understanding and perceiving 3D urban scenes. Although a considerable number of deep learning models for the semantic segmentation of point clouds have been proposed, some
Wenxiao Zhan, Jing Chen
doaj   +3 more sources

Image Semantic Segmentation Based on Multi-level Superposition and Attention Mechanism [PDF]

Jisuanji gongcheng, 2023
To address the common problems such as small-scale targets being easily lost and boundary segmentation being discontinuous owing to the complexity of target space, a semantic image segmentation model based on multi-level superposition and attention ...
Xiaodong SU, Shizhou LI, Jiayuan ZHAO, Hongyu LIANG, Yurong ZHANG, Hongyan XU
doaj   +1 more source

Latent space unsupervised semantic segmentation

Frontiers in Physiology, 2023
The development of compact and energy-efficient wearable sensors has led to an increase in the availability of biosignals. To effectively and efficiently analyze continuously recorded and multidimensional time series at scale, the ability to perform ...
Knut J. Strommen, Jim Tørresen, Jim Tørresen, Ulysse Côté-Allard, Ulysse Côté-Allard   +4 more
doaj   +1 more source

Multi-Scale Deep Neural Network Based on Dilated Convolution for Spacecraft Image Segmentation

Sensors, 2022
In recent years, image segmentation techniques based on deep learning have achieved many applications in remote sensing, medical, and autonomous driving fields.
Yuan Liu, Ming Zhu, Jing Wang, Xiangji Guo, Yifan Yang, Jiarong Wang   +5 more
doaj   +1 more source

Multi‐source heterogeneous iris segmentation method based on lightweight convolutional neural network

IET Image Processing, 2023
Iris segmentation is a critical step in the iris recognition system. Since the quality of iris database taken under different camera sensors varies greatly, thus most existing iris segmentation methods are designed for a particular collection device ...
Guang Huo, Dawei Lin, Meng Yuan
doaj   +1 more source

A NEW FRAMEWORK FOR OBJECT-BASED IMAGE ANALYSIS BASED ON SEGMENTATION SCALE SPACE AND RANDOM FOREST CLASSIFIER [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
In this paper a new object-based framework is developed for automate scale selection in image segmentation. The quality of image objects have an important impact on further analyses.
A. Hadavand, M. Saadatseresht, S. Homayouni   +2 more
doaj   +1 more source

The Active Segmentation Platform for Microscopic Image Classification and Segmentation

Brain Sciences, 2021
Image segmentation still represents an active area of research since no universal solution can be identified. Traditional image segmentation algorithms are problem-specific and limited in scope.
Sumit K. Vohra, Dimiter Prodanov
doaj   +1 more source

Combining Contrast Invariant L1 Data Fidelities with Nonlinear Spectral Image Decomposition [PDF]

, 2017
This paper focuses on multi-scale approaches for variational methods and corresponding gradient flows. Recently, for convex regularization functionals such as total variation, new theory and algorithms for nonlinear eigenvalue problems via nonlinear ...
A Chambolle, A Haddad, A Hoover, C Brune, C Wu, C Zach, D Strong, G Bellettini, G Gilboa, G Gilboa, G Gilboa, J Yuan, JF Aujol, L Zeune, M Burger, M Burger, M Nikolova, S Osher, TF Chan, V Caselles, V Duval, W Yin, Y Dong   +22 more
core   +3 more sources

Liver Semantic Segmentation Algorithm Based on Improved Deep Adversarial Networks in Combination of Weighted Loss Function on Abdominal CT Images

IEEE Access, 2019
Due to the space inconsistency between benchmark image and segmentation result in many existing semantic segmentation algorithms for abdominal CT images, an improved model based on the basic framework of DeepLab-v3 is proposed, and Pix2pix network is ...
Kaijian Xia, Hongsheng Yin, Pengjiang Qian, Yizhang Jiang, Shuihua Wang   +4 more
doaj   +1 more source