Results 151 to 160 of about 118,760 (177)

Multiscale Superpixel-Based Active Learning for Hyperspectral Image Classification

IEEE Geoscience and Remote Sensing Letters, 2022
This letter proposes a novel active learning (AL) framework that utilizes the information derived from multiscale superpixel maps for the classification of hyperspectral image. Considering that the nearby pixels with similar spectral properties tend to belong to the same class, we introduce the multiscale superpixel maps for the automatic labeling of ...
Qikai Lu
exaly   +2 more sources

Multiscale superpixel method for segmentation of breast ultrasound

Computers in Biology and Medicine, 2020
In medical diagnostics, breast ultrasound is an inexpensive and flexible imaging modality. The segmentation of breast ultrasounds to identify tumour regions is a challenging and complex task. The major problems of effective tumour identification are speckle noise, artefacts and low contrast.
Ademola Enitan Ilesanmi, Oluwagbenga Paul Idowu, Stanislav S. Makhanov   +2 more
openaire   +3 more sources

PolSAR Image Classification With Multiscale Superpixel-Based Graph Convolutional Network

IEEE Transactions on Geoscience and Remote Sensing, 2022
Convolutional neural networks (CNNs) have demonstrated impressive ability to achieve promising results in PolSAR image classification. However, the traditional CNN performs convolution on local square regions with fixed sizes. The selection of these local square regions (patches) cannot fully take advantage of the boundary information of land covers ...
Jianda Cheng, Fan Zhang 0007, Deliang Xiang, Qiang Yin 0001, Yongsheng Zhou   +4 more
openaire   +1 more source

Human body segmentation in a static image with multiscale superpixels

2011 3rd International Conference on Awareness Science and Technology (iCAST), 2011
In this work, we propose a new method for human body accurate detection in a static image with multiscale superpixels. The main contribution of this work is as follows: (1) A new framework for human body accurate detection using multiscale superpixels and classifier with autothreshold is proposed. (2) Some effective constraints for human body detection
Meng Yao, Huchuan Lu
openaire   +1 more source

Multiscale Superpixel Kernel-Based Low-Rank Representation for Hyperspectral Image Classification

IEEE Geoscience and Remote Sensing Letters, 2020
Classification plays an important role in the field of hyperspectral image (HSI) remote sensing. In this letter, a novel multiscale superpixel kernel-based low-rank representation (MSKLRR) classifier is proposed for HSI classification. A multiscale superpixel segmentation method is first used to generate several homogeneous regions at different scales.
Tianming Zhan, Minghua Wan, Zhen Yu Lu
exaly   +3 more sources

Fusion multiscale superpixel features for classification of hyperspectral images

2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2016
A novel multiscale superpixel-based fusion classification approach is proposed for hyperspectral images in this study. Superpixels are considered as basic processing unit for spectral-spatial based classification. The proposed technique consists of three steps.
Xiuping Jia
exaly   +3 more sources

Multiscale superpixel classification for tumor segmentation in breast ultrasound images

2012 19th IEEE International Conference on Image Processing, 2012
Tumor localization and segmentation in breast ultrasound (BUS) images is an important as well as intractable problem for computer-aided diagnosis (CAD) due to the high variation in shape and appearance. We propose a novel algorithm in this paper without making any assumption on tumor, compared to most previous works.
Zhihui Hao, Qiang Wang 0023, Haibing Ren, Kuanhong Xu, Yeong Kyeong Seong, Ji-yeun Kim   +5 more
openaire   +1 more source

HUMAN BODY SEGMENTATION IN A STATIC IMAGE WITH ON-LINE ADABOOST AT MULTISCALE SUPERPIXELS

International Journal of Image and Graphics, 2012
In this work, we propose a new method for accurate human body detection in a static image with multi-scale superpixels based on two models. First, based on the face detection, we use designed torso part model to estimate the torso part region to provide the positive samples of on-line AdaBoost.
Shifeng Li, Meng Yao, Huchuan Lu
openaire   +2 more sources

Discriminant sub-dictionary learning with adaptive multiscale superpixel representation for hyperspectral image classification

Neurocomputing, 2020
Abstract Sparse representation and dictionary learning have been successfully applied in hyperspectral image classification. Generally, it is more effective to learn the sub-dictionary for each class and utilize multiple scale strategy. However, the sub-dictionary may only consider the within-class information and ignore the discriminative ...
Quansen Sun, Xiaobo Shen, Zexuan Ji
exaly   +2 more sources

Multiscale Superpixel Kernel Learning for Spatial-Spectral Hyperspectral Image Classification

2021 5th International Conference on Automation, Control and Robots (ICACR), 2021
In this paper, to further explore the spatial-spectral information, we propose a novel multiple kernel learning (MKL) algorithm embedded with multiscale superpixels, whose shapes and sizes are changed adaptly according to the local structural features. Specifically, we first introduce the superpixel to generate multiscale homogeneous regions.
Ling Wang, Hongqiao Wang, Guangyuan Fu
openaire   +1 more source