A PIXEL- AND OBJECT-BASED IMAGE ANALYSIS FRAMEWORK FOR AUTOMATIC WELL SITE EXTRACTION AT REGIONAL SCALES USING LANDSAT DATA

被引：1
|
作者：
Salehi, Bahram [1 ]
Jefferies, William [1 ]
Adlakha, Paul [1 ]
Chen, Zhaohua [1 ]
Bobby, Pradeep [1 ]
机构：
[1] C CORE, St John, NF A1B 3X5, Canada
来源：
2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2014年
关键词：
Landsat-5; object-based; disturbance mapping; well site extraction;
D O I：
10.1109/IGARSS.2014.6946788
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Development associated with oil and gas exploration has expanded rapidly in Alberta and Northwest Territories, Canada. Such explorations result in landscape disturbances including forest cuts, seismic lines, well and waste sites. This paper describes a novel methodology for automatic extraction of well sites from Landsat-5 TM imagery. The method combines pixel-based and object-based image analyses and contains three major steps: geometric enhancement, segmentation, and well site extraction. For accuracy assessment, a small part of the image was used and the results were compared against visual counting of well sites visible in the pan-sharpened image of Landsat-8 of the same area. Results show correctness, completeness and quality factors of 87.3%, 96.2%, and 83.7%, respectively
引用
收藏
页码：1741 / 1744
页数：4
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