A PROBABILITY-BASED STATISTICAL METHOD TO EXTRACT WATER BODY OF TM IMAGES WITH MISSING INFORMATION
| Autor: | Shizhong Lian, Jiangping Chen, Minghai Luo |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
lcsh:Applied optics. Photonics
Matching (statistics) 010504 meteorology & atmospheric sciences 0211 other engineering and technologies Boundary (topology) 02 engineering and technology Blocking (statistics) computer.software_genre 01 natural sciences lcsh:Technology Computer vision 021101 geological & geomatics engineering 0105 earth and related environmental sciences business.industry lcsh:T Histogram matching lcsh:TA1501-1820 Probability and statistics Missing data Information extraction Geography Water body lcsh:TA1-2040 Artificial intelligence business lcsh:Engineering (General). Civil engineering (General) computer |
| Zdroj: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B2, Pp 21-26 (2016) |
| ISSN: | 2194-9034 |
| DOI: | 10.5194/isprsarchives-xli-b2-21-2016 |
| Popis: | Water information cannot be accurately extracted using TM images because true information is lost in some images because of blocking clouds and missing data stripes, thereby water information cannot be accurately extracted. Water is continuously distributed in natural conditions; thus, this paper proposed a new method of water body extraction based on probability statistics to improve the accuracy of water information extraction of TM images with missing information. Different disturbing information of clouds and missing data stripes are simulated. Water information is extracted using global histogram matching, local histogram matching, and the probability-based statistical method in the simulated images. Experiments show that smaller Areal Error and higher Boundary Recall can be obtained using this method compared with the conventional methods. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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