Results 141 to 150 of about 495 (155)
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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

A Multiscale Superpixel-Guided Filter Approach for VHR Remote Sensing Image Classification

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
This paper presents a novel multiscale superpixel-guided filter (MSGF) approach for very high resolution (VHR) remote sensing image classification. Different from the traditional guided filter (GF) classification method, the proposed method utilizes a guidance image that constructed from the superpixel segmentation image, which is capable to provide ...
Sicong Liu 0001   +3 more
openaire   +1 more source

Superpixel-guided multiscale kernel collaborative representation for hyperspectral image classification

Remote Sensing Letters, 2016
ABSTRACTThis article presents a superpixel-guided multiscale kernel collaborative representation method for robust classification of hyperspectral images. This novel method first exploits the spatial multiscale information of hyperspectral images by extending a superpixel segmentation algorithm, and then proposes a spatial-spectral information fusion ...
Jianjun Liu, Zhiyong Xiao, Liang Xiao
openaire   +1 more source

Spectral-spatial classification of hyperspectral images via multiscale superpixels based sparse representation

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
Recently, the superpixel segmentation is introduced into the hyperspectral image (HSI) classification to exploit the spatial information. However, the size of superpixel is hard to determine since small superpixels lack enough spatial information and large superpixels usually result in error segmentation.
Shuzhen Zhang, Shutao Li 0001
openaire   +1 more source

A Multiscale Superpixel-Level Group Clustering Framework for Hyperspectral Band Selection

IEEE Transactions on Geoscience and Remote Sensing, 2022
Sen Jia 0001   +6 more
openaire   +1 more source

Ship detection in SAR images by saliency analysis of multiscale superpixels

Remote Sensing Letters, 2022
Ling Han, Dongsheng Liu, Dongdong Guan
openaire   +1 more source

BAMS-FE: Band-by-Band Adaptive Multiscale Superpixel Feature Extraction for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing, 2023
Hui Sheng, Mingming Xu, Shanwei Liu
exaly  

A New Multiscale Superpixel Mamba for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing
Yilin Duan   +5 more
openaire   +1 more source

Multiscale infrared superpixel-image model for small-target detection

Journal of Image and Graphics, 2019
Zhonglin Liu, Yiquan Wu, Yu Zou
openaire   +1 more source

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