Proceedings of the 5th China High Resolution Earth Observation Conference (CHREOC 2018) /
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| Meeting name: | China High Resolution Earth Observation Conference (5th : 2018 : China) |
|---|---|
| Imprint: | Ingapore : Springer, [2019] |
| Description: | 1 online resource : illustrations |
| Language: | English |
| Series: | Lecture notes in electrical engineering ; volume 552 Lecture notes in electrical engineering ; v. 552. |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11852117 |
Table of Contents:
- Intro; Contents; Satellite Energy Prediction and Autonomous Management Technology; Abstract; 1 Introduction; 2 The Design of Satellite Energy Autonomous Management System; 2.1 Solar Array Output Power Prediction; 2.2 Energy Autonomous Management; 2.3 Space-Ground Integration Energy Autonomous Management System; 3 Conclusion; References; Research on Key Technologies of Geosynchronous SAR Imaging System; Abstract; 1 Introduction; 2 GEOSAR Geometric Model; 2.1 GEOSAR Echo Signal Model; 2.2 GEOSAR Echo Two-Dimensional Frequency Domain Expression
- 3 GEOSAR Image Processing Algorithm for Large Strabismus4 Simulation Experiment; 5 Conclusion; References; Sea-Land Segmentation Algorithm for SAR Images Based on Superpixel Merging; Abstract; 1 Introduction; 2 Superpixel Generation; 2.1 SLIC Algorithm; 2.2 Presegmentation Based on Modified SLIC; 2.2.1 Dissimilarity Measure; 2.2.2 Image Presegmentation; 3 Proposed Segmentation Method; 3.1 Superpixel Merging Rules; 3.1.1 Vicinity Rule; 3.1.2 Edge Rule; 3.1.3 Similarity Rule; 3.2 Coarse to Fine Strategy for Superpixel Merging; 3.2.1 Coarse Merging Stage (CMS); 3.2.2 Fine Merging Stage (FMS)
- 3.3 Flowchart of the Proposed Algorithm4 Experimental Results and Discussion; 5 Conclusions; References; Vector Quantization: Timeline-Based Location Data Extraction and Route Fitting for Crowdsourcing; Abstract; 1 Introduction; 2 Related Work; 3 Contribution and Paper Structure; 3.1 Summary of Key Contributions; 3.2 Paper Structure; 4 Preliminaries; 4.1 System Overview; 4.2 Techniques; 4.2.1 Vector Quantization; 4.2.2 Cluster; 5 Of Model; 5.1 Algorithm of DB-SCAN Model; 5.2 Algorithm of Grid-K-Means Model; 6 Experiment and Theoretical Analysis; 7 Conclusion; References
- Target Aspect Estimation in SAR Images via Two-Dimensional Entropic Thresholding and Radon TransformAbstract; 1 Introduction; 2 Image Processing; 2.1 2D Maximum Entropy Thresholding; 2.2 Radon Transform; 3 Aspect Estimation; 4 Experiments; 5 Conclusion; References; Signal Model and System Parameter Study for Geosynchronous Circular SAR; Abstract; 1 Introduction; 2 Geometry Model and Orbital Designing of Geo-CSAR; 2.1 Geo-CSAR Geometry Model; 2.2 Orbital Parameter Designing of Geo-CSAR; 3 Signal Model Analysis; 4 System Parameter Designing and Simulation
- 4.1 Geo-CSAR System Parameter Designing4.2 Point Target Imaging Simulation; 5 Conclusion; Acknowledgements; References; Low-Light Remote Sensing Images Enhancement Algorithm Based on Fully Convolutional Neural Network; Abstract; 1 Introduction; 2 Method; 2.1 Description of Fully Convolutional Neural Network Structure; 2.2 Preparation of Dataset Used for Training; 2.3 Training Process of Fully Convolutional Neural Network; 2.4 Neural Network Training Based on Adam Optimizer; 3 Analysis of Numerical Results Based on SID Dataset; 4 Conclusion; References