Results 81 to 90 of about 4,342 (209)

Incorporating Superpixel Context for Extracting Building From High-Resolution Remote Sensing Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Extracting building from high-resolution (HR) remote sensing imagery (RSI) serves a variety of areas, such as smart city, environment management, and emergency disaster services.
Fang Fang, Kang Zheng, Shengwen Li, Rui Xu, Qingyi Hao, Yuting Feng, Shunping Zhou   +6 more
doaj   +1 more source

Fast Segmentation and Classification of Very High Resolution Remote Sensing Data Using SLIC Superpixels

Remote Sensing, 2017
Speed and accuracy are important factors when dealing with time-constraint events for disaster, risk, and crisis-management support. Object-based image analysis can be a time consuming task in extracting information from large images because most of the ...
Ovidiu Csillik
doaj   +1 more source

Video‐Based Rainfall Opportunistic Sensing in Hydrology: A Lightweight Machine Learning Approach

Water Resources Research, Volume 62, Issue 7, July 2026.
Abstract Video‐based rainfall measurement is a frontier topic in opportunistic sensing; however, rapid, accurate, and robust identification of rainfall‐related rain‐streak features from dynamic videos remains a key challenge, especially for monitoring devices with limited computational resources.
Yongcheng Jin, Zhe Zhu, Xinwei Xue, Guangtao Fu, Chi Zhang, Yu Li   +5 more
wiley   +1 more source

The low-rank decomposition of correlation-enhanced superpixels for video segmentation [PDF]

, 2019
Low-rank decomposition (LRD) is an effective scheme to explore the affinity among superpixels in the image and video segmentation. However, the superpixel feature collected based on colour, shape, and texture may be rough, incompatible, and even ...
Hancock, Edwin R., Xu, Haixia, Zhou, Wei
core   +1 more source

A deep learning‐enabled toolkit for the 3D segmentation of ventricular cardiomyocytes

The Journal of Physiology, Volume 604, Issue 13, Page 5561-5584, 1 July 2026.
Abstract figure legend 3D cardiomyocyte segmentation enables comprehensive analyses of myocardial microstructure in health and disease; however, it is technically demanding. We present an open‐source toolkit for this task, which reduces challenges associated with sample preparation, image restoration, segmentation and proofreading.
Joachim Greiner, Fabio Frangiamore, Frédéric Sonak, Josef Madl, Thomas Seidel, Peter Kohl, Eva A. Rog‐Zielinska   +6 more
wiley   +1 more source

Hypergraph Convolution Network Classification for Hyperspectral and LiDAR Data

Sensors
Conventional remote sensing classification approaches based on single-source data exhibit inherent limitations, driving significant research interest in improved multimodal data fusion techniques.
Lei Wang, Shiwen Deng
doaj   +1 more source

Multifiber Array‐Based Photometry System for Multiregional Functional Mapping in the Mouse Brain

European Journal of Neuroscience, Volume 63, Issue 12, June 2026.
Existing fiber photometry approaches suffer from invasiveness and limited scalability. A newly developed multifiber array‐based photometry system allows targeting multiple brain regions with less invasiveness. The system was validated in two jGCaMP8s‐expressing mouse lines by monitoring GABAergic neural population activity across multiple brain regions
Manil Bradai, Mirna Merkler, Gabriela Gil, Rebecca Davie, Shuzo Sakata   +4 more
wiley   +1 more source

Superpixels via pseudo-Boolean optimization [PDF]

, 2016
We propose an algorithm for creating superpixels. The major step in our algorithm is simply minimizing two pseudo-Boolean functions. The processing time of our algorithm on images of moderate size is only half a second.
Mashford, John, Zhang, Yuhang, Hartley, Richard   +2 more
core   +1 more source

Superpixels adaptés localement aux textures

, 2019
International audienceLa plupart des méthodes superpixels calculent un compromis entre des descripteurs spatiaux et couleur à l'échelle pixellique. Elles nécessitent donc un réglage fin pour équilibrer ces mesures, et ne peuvent capturer une information ...
GIRAUD, Rémi, PAPADAKIS, Nicolas, TA, Vinh-Thong, BERTHOUMIEU, Yannick   +3 more
core   +1 more source

Geometry-based Superpixel Segmentation - Introduction of Planar Hypothesis for Superpixel Construction

Proceedings of the 10th International Conference on Computer Vision Theory and Applications, 2015
Superpixel segmentation is widely used in the preprocessing step of many applications. Most of existing methods are based on a photometric criterion combined to the position of the pixels. In the same way as the Simple Linear Iterative Clustering (SLIC) method, based on k-means segmentation, a new algorithm is introduced.
Marie-Anne Bauda, Sylvie Chambon, Pierre Gurdjos, Vincent Charvillat   +3 more
openaire   +3 more sources