Mixed Pixel Decomposition Based on Extended Fuzzy Clustering for Single Spectral Value Remote Sensing Images
出版年份 2019 全文链接
标题
Mixed Pixel Decomposition Based on Extended Fuzzy Clustering for Single Spectral Value Remote Sensing Images
作者
关键词
Remote sensing images, Pure pixels, Mixed pixels, Fuzzy C-means, Neural network, PSO, BBO
出版物
Journal of the Indian Society of Remote Sensing
Volume -, Issue -, Pages -
出版商
Springer Nature
发表日期
2019-01-16
DOI
10.1007/s12524-019-00946-2
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- An improved salient object detection algorithm combining background and foreground connectivity for brain image analysis
- (2018) Bhavneet Kaur et al. COMPUTERS & ELECTRICAL ENGINEERING
- A novel approach for fuzzy clustering based on neutrosophic association matrix
- (2018) Hoang Viet Long et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Dental segmentation from X-ray images using semi-supervised fuzzy clustering with spatial constraints
- (2017) Le Hoang Son et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- A new deep convolutional neural network for fast hyperspectral image classification
- (2017) M.E. Paoletti et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Satellite Image Resolution Enhancement Using Nonsubsampled Contourlet Transform and Clustering on Subbands
- (2017) S. S. Aneesh Raj et al. Journal of the Indian Society of Remote Sensing
- Enhanced forest cover mapping using spectral unmixing and object-based classification of multi-temporal Landsat imagery
- (2017) David Gudex-Cross et al. REMOTE SENSING OF ENVIRONMENT
- Using mixed objects in the training of object-based image classifications
- (2017) Hugo Costa et al. REMOTE SENSING OF ENVIRONMENT
- A Novel Clustering Algorithm in a Neutrosophic Recommender System for Medical Diagnosis
- (2017) Nguyen Dang Thanh et al. Cognitive Computation
- One-Dimensional Convolutional Neural Network Land-Cover Classification of Multi-Seasonal Hyperspectral Imagery in the San Francisco Bay Area, California
- (2017) Daniel Guidici et al. Remote Sensing
- A novel semi-supervised fuzzy clustering method based on interactive fuzzy satisficing for dental x-ray image segmentation
- (2016) Tran Manh Tuan et al. APPLIED INTELLIGENCE
- Some novel hybrid forecast methods based on picture fuzzy clustering for weather nowcasting from satellite image sequences
- (2016) Le Hoang Son et al. APPLIED INTELLIGENCE
- Generalized picture distance measure and applications to picture fuzzy clustering
- (2016) Le Hoang Son APPLIED SOFT COMPUTING
- Picture fuzzy clustering for complex data
- (2016) Pham Huy Thong et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- A cooperative semi-supervised fuzzy clustering framework for dental X-ray image segmentation
- (2016) Le Hoang Son et al. EXPERT SYSTEMS WITH APPLICATIONS
- Deep Learning Earth Observation Classification Using ImageNet Pretrained Networks
- (2016) Dimitrios Marmanis et al. IEEE Geoscience and Remote Sensing Letters
- Tune Up Fuzzy C-Means for Big Data: Some Novel Hybrid Clustering Algorithms Based on Initial Selection and Incremental Clustering
- (2016) Le Hoang Son et al. International Journal of Fuzzy Systems
- Blind spectral unmixing based on sparse component analysis for hyperspectral remote sensing imagery
- (2016) Yanfei Zhong et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- A novel automatic picture fuzzy clustering method based on particle swarm optimization and picture composite cardinality
- (2016) Pham Huy Thong et al. KNOWLEDGE-BASED SYSTEMS
- Improved hyperspectral image classification by active learning using pre-designed mixed pixels
- (2016) Alim Samat et al. PATTERN RECOGNITION
- Improving lifetime and network connections of 3D wireless sensor networks based on fuzzy clustering and particle swarm optimization
- (2016) Nguyen Thi Tam et al. WIRELESS NETWORKS
- Hybrid Constraints of Pure and Mixed Pixels for Soft-Then-Hard Super-Resolution Mapping With Multiple Shifted Images
- (2015) Yuehong Chen et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Substance Dependence Constrained Sparse NMF for Hyperspectral Unmixing
- (2015) Yuan Yuan et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- A New Fast Algorithm for Linearly Unmixing Hyperspectral Images
- (2015) Raul Guerra et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- A Novel Multiple Fuzzy Clustering Method Based on Internal Clustering Validation Measures with Gradient Descent
- (2015) Le Hoang Son et al. International Journal of Fuzzy Systems
- Picture fuzzy clustering: a new computational intelligence method
- (2015) Pham Huy Thong et al. SOFT COMPUTING
- Site-Specific Plant Condition Monitoring Through Hyperspectral Alternating Least Squares Unmixing
- (2014) Laurent Tits et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Spectral–Spatial Classification of Hyperspectral Data Using Local and Global Probabilities for Mixed Pixel Characterization
- (2014) Mahdi Khodadadzadeh et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Unsupervised methods for the classification of hyperspectral images with low spatial resolution
- (2012) A. Villa et al. PATTERN RECOGNITION
- Comparing object-based and pixel-based classifications for mapping savannas
- (2011) Timothy G. Whiteside et al. International Journal of Applied Earth Observation and Geoinformation
- Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery
- (2011) Soe W. Myint et al. REMOTE SENSING OF ENVIRONMENT
- Improving the estimation of urban surface emissivity based on sub-pixel classification of high resolution satellite imagery
- (2011) Zina Mitraka et al. REMOTE SENSING OF ENVIRONMENT
- A Novel Technique for Subpixel Image Classification Based on Support Vector Machine
- (2010) Francesca Bovolo et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
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