Search Results - Non-iterative clustering algorithm

A New Texture Aware-Seed Demand Enhanced Simple Non-Iterative Clustering (ESNIC) Segmentation Algorithm for Efficient Land Use and Land Cover Mapping on Remote Sensing Images by Selvaraj, Rohini, Amali, D. Geraldine Bessie

“… to similar spectral LULC types and overlapping LULC regions. This paper proposes a texture-aware and seed-demanding Enhanced Simple Non-Iterative Clustering (ESNIC…”
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Stokes space modulation format classification based on non-iterative clustering algorithm for coherent optical receivers by Mai, Xiaofeng, Liu, Jie, Wu, Xiong, Zhang, Qun, Guo, Changjian, Yang, Yanfu, Li, Zhaohui

“…A Stokes-space modulation format classification (MFC) technique is proposed for coherent optical receivers by using a non-iterative clustering algorithm…”
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Non-iterative border-peeling clustering algorithm based on swap strategy by Tu, Hui, Ding, Shifei, Xu, Xiao, Hou, Haiwei, Li, Chao, Ding, Ling

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Mapping Burned Forest Areas in Western Yunnan, China, Using Multi-Source Optical Imagery Integrated with Simple Non-Iterative Clustering Segmentation and Random Forest Algorithms in Google Earth Engine by Chen, Yue, Kou, Weili, Miao, Wenna, Yin, Xiong, Gao, Jiayue, Zhuang, Weiyu

“…This study aimed to accurately map burned forest areas and analyze the spatial distribution of forest fires under complex terrain conditions. This study…”
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An effective hot topic detection method for microblog on spark by Ai, Wei, Li, Kenli, Li, Keqin

“…•We import the TMHTD method and the related algorithms into the Spark cloud computing environment…”
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A new multitarget tracking approach based on a non-iterative fuzzy clustering means algorithm by Aziz, Ashraf M.

“…In this paper, a new multitarget tracking approach is proposed. In the proposed approach, a non-iterative fuzzy clustering means algorithm is used to generate the association measures between the received measurements and the targets…”
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Automated Individual Tree Crown Detection and Segmentation using Simple Non-Iterative Clustering (SNIC) Algorithms and High-Resolution LiDAR by Subedi, Prajwol Babu, Zurqani, Hamdi A., Blazier, Michael A., Yanez, Marco, Cunningham, Kyle

“…This study introduced an automated method for Individual Tree Crown Detection (ITCD) and Segmentation (ITCS) using high-resolution LiDAR data and the Simple Non-Iterative Clustering…”
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Pixel- vs. Object-Based Landsat 8 Data Classification in Google Earth Engine Using Random Forest: The Case Study of Maiella National Park by Tassi, Andrea, Gigante, Daniela, Modica, Giuseppe, Di Martino, Luciano, Vizzari, Marco

“…With the general objective of producing a 2018–2020 Land Use/Land Cover (LULC) map of the Maiella National Park (central Italy), useful for a future long-term…”
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Superpixels and Polygons Using Simple Non-iterative Clustering by Achanta, Radhakrishna, Susstrunk, Sabine

“… Unlike SLIC, our algorithm is non-iterative, enforces connectivity from the start, requires lesser memory, and is faster…”
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Fast Segmentation of Vertebrae CT Image Based on the SNIC Algorithm by Li, Bing, Wu, Shaoyong, Zhang, Siqin, Liu, Xia, Li, Guangqing

“… In order to improve the speed and performance of the segmentation algorithm of medical images, we propose a medical image segmentation algorithm based on simple non-iterative clustering (SNIC…”
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Continental maize mapping and distribution in Africa by integrating radar and optical imagery by Abdelrahim, Nasser A. M., Jin, Shuanggen

“…-oriented segmentation through the Simple Non-Iterative Clustering (SNIC) algorithm. Maize classification was performed using a random forest model, which achieved an overall…”
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Weakly supervised mapping of old and renewed urban areas in China during the recent two decades by Ni, Hao, Yu, Le, Gong, Peng

“…•Maps of old and renewed urban areas in China during 2000–2021.•An adaptive weakly supervised framework on a city basis with pixel-level results.•Old and…”
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Object-Oriented LULC Classification in Google Earth Engine Combining SNIC, GLCM, and Machine Learning Algorithms by Tassi, Andrea, Vizzari, Marco

“… functions, and in tuning the various parameters to overcome the GEE computational limits. In this context, this work is aimed at developing and testing an OO classification approach combining the Simple Non-Iterative Clustering (SNIC…”
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Fast fractal coding of subbands using a non-iterative block clustering by Belloulata, Kamel

“…We propose a new image coding scheme which uses a fast non-iterative algorithm for block clustering in fractal coding of wavelet transform coefficients…”
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Density peaks clustering based on density backbone and fuzzy neighborhood by Lotfi, Abdulrahman, Moradi, Parham, Beigy, Hamid

“… Density peaks clustering (DPC) is as an efficient clustering algorithm due for using a non-iterative process…”
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Object-Based Informal Settlement Mapping in Google Earth Engine Using the Integration of Sentinel-1, Sentinel-2, and PlanetScope Satellite Data by Matarira, Dadirai, Mutanga, Onisimo, Naidu, Maheshvari, Vizzari, Marco

“… The accessibility to high-spatial-resolution PlanetScope imagery, coupled with the convenience of simple non-iterative clustering (SNIC…”
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Detecting subject-specific activations using fuzzy clustering by Seghier, Mohamed L., Friston, Karl J., Price, Cathy J.

“… In this paper, we describe a non-iterative fuzzy clustering algorithm (FCP: fuzzy clustering with fixed prototypes…”
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Accurate classification of land use and land cover using a boundary-specific two-level learning approach augmented with auxiliary features in Google Earth Engine by Selvaraj, Rohini, Amali D, Geraldine Bessie

“…Land use land cover (LULC) classification using remote sensing images is a valuable resource in various fields such as climate change, urban development, and…”
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NICE: Superpixel Segmentation Using Non-Iterative Clustering with Efficiency by Li, Cheng, Guo, Baolong, Wang, Geng, Zheng, Yan, Liu, Yang, He, Wangpeng

“… In this work, two strategies are presented on conventional simple non-iterative clustering (SNIC) framework, aiming to improve the computational efficiency as well as segmentation performance…”
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Mapping gully affected areas by using Sentinel 2 imagery and digital elevation model based on the Google Earth Engine by Huang, Xiaohui, Xiong, Liyang, Jiang, Yinghui, Li, Sijin, Liu, Kai, Ding, Hu, Tang, Guoan

“…•We proposed a novel OBIA-GEE method for mapping gully affected areas.•50 features from Sentinel 2 imagery and AW3D 30 DEM are used in OBIA-GEE.•OBIA-GEE…”
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