Results 61 to 70 of about 495 (155)

Sparse Representation-Based Hyperspectral Image Classification Using Multiscale Superpixels and Guided Filter

IEEE Geoscience and Remote Sensing Letters, 2019
We propose a spatial–spectral hyperspectral image classification method based on multiscale superpixels and guided filter (MSS–GF). In order to use spatial information effectively, MSSs are used to get local information from different region scales. Sparse representation classifier is used to generate classification maps for each region scale.
Tugcan Dundar, Taner Ince
openaire   +2 more sources

USNet: underwater image superpixel segmentation via multi-scale water-net

Frontiers in Marine Science
Underwater images commonly suffer from a variety of quality degradations, such as color casts, low contrast, blurring details, and limited visibility.
Chuhong Wang, Chuhong Wang, Wenli Duan, Chengche Luan, Junyan Liang, Lengyu Shen, Hua Li   +6 more
doaj   +1 more source

Adaptive strategy for superpixel-based region-growing image segmentation

, 2017
International audienceThis work presents a region-growing image segmentation approach based on superpixel decomposition. From an initial contour-constrained oversegmentation of the input image, the image segmentation is achieved by iteratively merging ...
Chaibou Salaou, Mahaman Sani, Karim Kalti, Mahjoub, Mohamed Ali, Solaiman, Basel, Mahaman Sani Chaibou, Mohamed Ali Mahjoub, Kalti, Karim, Pierre-Henri Conze, Basel Solaiman, Conze, Pierre-Henri   +9 more
core   +1 more source

From Global to Local: A Dual-Branch Structural Feature Extraction Method for Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Extracting discriminative spectral-spatial features from hyperspectral images (HSIs) remains a crucial topic within the remote sensing community. However, most feature extraction methods suffer from coarse textures, leading to poor performance in ...
Ying Zhang, Lianhui Liang, Jianxu Mao, Yaonan Wang, Lin Jia   +4 more
doaj   +1 more source

Hierarchical homogeneity-based superpixel segmentation: application to hyperspectral image analysis

International audienceHyperspectral image (HI) analysis approaches have recently become increasingly complex and sophisticated. Recently, the combination of spectral-spatial information and superpixel techniques have addressed some hyperspectral data ...
Almeida, Sérgio, Bermudez, José Carlos, Ayres, Luciano Carvalho, Borsoi, Ricardo Augusto, de Almeida, Sérgio José Melo, Bermudez, José Carlos Moreira   +5 more
core   +1 more source

Spatial Multifeature and Dual-Layer Multihop Graph Convolution Networks for Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral image (HSI) classification constitutes a crucial research direction within the domain of remote sensing. Convolutional neural networks (CNNs) and graph convolutional network (GCN) have exhibited outstanding classification performance in ...
Xiangyue Yu, Ning Li, Di Wu, Zheng Li, Zhenyuan Wu, Ximing Ma   +5 more
doaj   +1 more source

Epithelium and stroma segmentation using multiscale superpixel clustering.

, 2018
Introduction: Accurate image segmentation is essential in quantitative histopathology although challenging due to tissue complexity, heterogeneity and the uncertainty of scene contents.
Landini, Gabriel, Randell, David, Galton, Antony, Fouad, Shereen   +3 more
core  

Selection of Grid Road Networks Based on Raster Data

Applied Sciences
In cartography, generalization is a key process used to simplify complex geographic information, making it suitable for display at different scales while maintaining its essential meaning.
Yilang Shen, Yiqing Zhang, Renzhu Li
doaj   +1 more source

Superpixel semantics representation and pre-training for vision-language tasks [PDF]

Data availability: Data will be made available on request.A Preprint version submitted to Neurocomputing, October 2, 2024, is available at: arXiv.2310.13447 [v3] (https://arxiv.org/abs/2310.13447).
Zhang, S, Gao, S, Bai, L, Yang, J, Chen, Y, Sun, Y, Wang, F   +6 more
core   +1 more source

A multiscale image representation.

, 2012
Starting with a regular gray-scale image, the pixels are grouped into two by two pixels. Each group is then transformed using the Haar wavelet basis on the right.
Lucas Theis (146842), Reshad Hosseini (146847), Matthias Bethge (146851)   +2 more
core   +1 more source