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Multiscale superpixel segmentation-based band expansion for change detection

Remote Sensing Letters, 2023
Change detection (CD) for remotely sensed images has gained great relevance in the last decade due to an increase in the number of Earth Observation (EO) missions, improved temporal resolutions, and open data policies. However, efficient exploitation and integration of spatial information for CD remains a challenging issue.
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Multiscale superpixel-based fusion framework for hyperspectral image classification

2018 Fifth International Workshop on Earth Observation and Remote Sensing Applications (EORSA), 2018
Since it is usually difficult and time-consuming to obtain sufficient labeled samples in practice, the samll number of sample is one of the challenging issue for hyperspectral image classifiction. Fortunately, due to the spatial correlation of the surface of the materials, it is feasible to improve classification performance from the perspective of ...
Sen Jia, Xianglong Deng, Kuilin Wu
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Multiscale Superpixel-Level Subspace-Based Support Vector Machines for Hyperspectral Image Classification

IEEE Geoscience and Remote Sensing Letters, 2017
This letter introduces a new spectral–spatial classification method for hyperspectral images. A multiscale superpixel segmentation is first used to model the distribution of classes based on spatial information. In this context, the original hyperspectral image is integrated with segmentation maps via a feature fusion process in different scales such ...
ZHANG, Bing, Wenzhi Liao, Haoyang Yu
exaly   +3 more sources

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

IEEE Transactions on Geoscience and Remote Sensing, 2022
Sen Jia 0001   +6 more
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Ship detection in SAR images by saliency analysis of multiscale superpixels

Remote Sensing Letters, 2022
Ling Han, Dongsheng Liu, Dongdong Guan
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BAMS-FE: Band-by-Band Adaptive Multiscale Superpixel Feature Extraction for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing, 2023
Zhe Zeng, Shanwei Liu, Mingming Xu
exaly  

A New Multiscale Superpixel Mamba for Hyperspectral Image Classification

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