Saliency Map Generation for SAR Images with Bayes Theory and Heterogeneous Clutter Model
出版年份 2017 全文链接
标题
Saliency Map Generation for SAR Images with Bayes Theory and Heterogeneous Clutter Model
作者
关键词
-
出版物
Remote Sensing
Volume 9, Issue 12, Pages 1290
出版商
MDPI AG
发表日期
2017-12-12
DOI
10.3390/rs9121290
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。- A Novel Ship Detector Based on the Generalized-Likelihood Ratio Test for SAR Imagery
- (2017) Pasquale Iervolino et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- A Salient Region Detection and Pattern Matching-Based Algorithm for Center Detection of a Partially Covered Tropical Cyclone in a SAR Image
- (2017) Shaohui Jin et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Unsupervised saliency-guided SAR image change detection
- (2017) Yaoguo Zheng et al. PATTERN RECOGNITION
- Statistical Modeling of Polarimetric SAR Data: A Survey and Challenges
- (2017) Xinping Deng et al. Remote Sensing
- Anisotropic-Scale-Space-Based Salient-Region Detection for SAR Images
- (2016) Qiang Zhang et al. IEEE Geoscience and Remote Sensing Letters
- Superpixel-Based CFAR Target Detection for High-Resolution SAR Images
- (2016) Wenyi Yu et al. IEEE Geoscience and Remote Sensing Letters
- Saliency Detector for SAR Images Based on Pattern Recurrence
- (2016) Haipeng Wang et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Man-Made Target Detection from Polarimetric SAR Data via Nonstationarity and Asymmetry
- (2016) Deliang Xiang et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Fast and Accurate Target Detection Based on Multiscale Saliency and Active Contour Model for High-Resolution SAR Images
- (2016) Song Tu et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Ship Detection with Spectral Analysis of Synthetic Aperture Radar: A Comparison of New and Well-Known Algorithms
- (2015) Armando Marino et al. Remote Sensing
- Multiple-Scale Salient-Region Detection of SAR Image Based on Gamma Distribution and Local Intensity Variation
- (2014) Qiang Zhang et al. IEEE Geoscience and Remote Sensing Letters
- Urban Area Man-Made Target Detection for PolSAR Data Based on a Nonzero-Mean Statistical Model
- (2014) W. Wu et al. IEEE Geoscience and Remote Sensing Letters
- Multiscale salient region detection and salient map generation for synthetic aperture radar image
- (2014) Tao Tang et al. Journal of Applied Remote Sensing
- An Improved Iterative Censoring Scheme for CFAR Ship Detection With SAR Imagery
- (2013) Wentao An et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- SAR image despeckling by combining saliency map and threshold selection
- (2013) Xiaohua Zhang et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Subband Extraction Strategies in Ship Detection With the Subaperture Cross-Correlation Magnitude
- (2012) C. Brekke et al. IEEE Geoscience and Remote Sensing Letters
- Tsunami Damage Investigation of Built-Up Areas Using Multitemporal Spaceborne Full Polarimetric SAR Images
- (2012) Si-Wei Chen et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Similarity-enhanced target detection algorithm using polarimetric SAR images
- (2012) Lamei Zhang et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- SAR Image Segmentation Based on Level Set Approach and {\cal G}_A^0 Model
- (2011) Regis C. Pinheiro Marques et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Context-Aware Saliency Detection
- (2011) Stas Goferman et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Hebbian-based neural networks for bottom-up visual attention and its applications to ship detection in SAR images
- (2011) Ying Yu et al. NEUROCOMPUTING
- A Parzen-Window-Kernel-Based CFAR Algorithm for Ship Detection in SAR Images
- (2010) Gui Gao IEEE Geoscience and Remote Sensing Letters
- Statistical Modeling of SAR Images: A Survey
- (2010) Gui Gao SENSORS
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