Results 111 to 120 of about 3,600 (211)

Adaptive Improved GCNs and SAM Superpixels for Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral image (HSI) classification with limited training samples is a challenging problem. According to recent results, effectively exploiting the spatial–spectral information of the HSI is crucial for HSI classification, even when the ...
Lei Wang, Wen-Sheng Zhu, Shi-Wen Deng
doaj   +1 more source

Hyperspectral Sparse Unmixing via Joint Robust Spatial Priors and Weighted Total Variation Regularization

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Sparse unmixing, which introduces a large spectral library to transform the problem of mixed-pixel decomposition into the search for an optimal subset of endmembers that best represents the spectral characteristics of an image, has become a prominent ...
Fan Li, Xiyu Chen, Shaoquan Zhang, Jiaqiang Zhou, Huasheng Zhu, Yuyang Liu, Hongyu Zhang, Chengzhi Deng, Shengqian Wang   +8 more
doaj   +1 more source

SEEDS: Superpixels Extracted Via Energy-Driven Sampling

, 2015
© 2014, Springer Science+Business Media New York. Superpixel algorithms aim to over-segment the image by grouping pixels that belong to the same object.
Van den Bergh, Michael, Boix, Xavier, Michael Van den Bergh, Van Gool, Luc, Luc Van Gool, Xavier Boix, Roig, Gemma, Gemma Roig   +7 more
core   +1 more source

Evaluation of image segmentation methods based on superpixels

, 2023
Superpiksel je skup grupiranih susjednih piksela koji imaju slične značajke boje, luminancije i teksture. Točnije, superpikseli su kompaktne i neprekinute regije na slici s vlastitim niskorazinskim semantičkim značenjem.
Ivić, Branimir
core   +1 more source

Multiscale Superpixel-Guided Weighted Graph Convolutional Network for Polarimetric SAR Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Polarimetric synthetic aperture radar (PolSAR) has attracted more attentions because of its excellent observation ability, and PolSAR image classification has become one of the significant tasks in remote sensing interpretation.
Ru Wang, Yinju Nie, Jie Geng
doaj   +1 more source

Scale-Adaptive Superpixels [PDF]

Color and Imaging Conference, 2018
Radhakrishna Achanta, Pablo Márquez-Neila, Pascal Fua, Sabine Süsstrunk   +3 more
openaire   +1 more source

Fast and effective image segmentation via superpixels and adaptive thresholding

, 2014
This paper proposes a fast and effective image segmentation algorithm by firstly clustering image pixels into a small number of superpixels and then merging these superpixels whose distances are below an adaptive threshold together to get the final ...
Jinwen Ma, Yunsheng Jiang, Jiang, Yunsheng, Ma, Jinwen   +3 more
core   +1 more source

Scale-Adaptive Superpixels

Size uniformity is one of the prominent features of superpixels. However, size uniformity rarely conforms to the varying content of an image. The chosen size of the superpixels therefore represents a compromise - how to obtain the fewest superpixels ...
Achanta, Radhakrishna, Fua, Pascal, Marquez Neila, Pablo, Süsstrunk, Sabine   +3 more
core  

Instance-level landmark labeling via multi-layer superpixels

, 2012
Conference Name:13th Pacific-Rim Conference on Multimedia, PCM 2012. Conference Address: Singapore, Singapore. Time:December 4, 2012 - December 6, 2012.Millions of place-specified photos are uploaded on the Internet.
Liu, Han, 曲延云, Qu, Yanyun, Yang, Jiangjun, Xie, Yi, Li, Cuihua, 谢怡, 李翠华   +7 more
core  

Superpixel Segmentation: An Evaluation

, 2015
In recent years, superpixel algorithms have become a standard tool in computer vision and many approaches have been proposed. However, different evaluation methodologies make direct comparison difficult. We address this shortcoming with a thorough and fair comparison of thirteen state-of-the-art superpixel algorithms.
openaire   +1 more source