Estimating the Volume of Oil Tanks Based on High-Resolution Remote Sensing Images

The purpose of this study is to obtain oil tank volumes from high-resolution satellite imagery to meet the need to measure oil tank volume globally. A preprocessed remote sensing HSV image is used to extract the shadow of the oil tank by Otsu thresholding, shadow area thresholding, and morphological closing. The oil tank shadow is crescent-shaped. Hence, a median method based on sub-pixel subdivision positioning is used to calculate the shadow length of the oil tank and then determine its height with high precision. The top of the tank and its radius in the image are identified using the Hough transform. The final tank volume is calculated using its height and radius. A high-resolution Gaofen 2 optical remote sensing image is used to evaluate the proposed method. The actual height and volume of the tank we tested were 21.8 m and 109,532 m3. The experimental results show that the mean absolute error of the height of the tank calculated by the median method is 0.238 m, the relative error is within 1.15%, and the RMES is 0.23. The result is better than the previous work. The absolute error between the calculated and the actual tank volumes ranges between 416 and 3050 m3, and the relative error ranges between 0.38% and 2.78%. These results indicate that the proposed method can calculate the volume of oil tanks with high precision and sufficient accuracy for practical applications.

[1]  P. Dare.  Shadow Analysis in High-Resolution Satellite Imagery of Urban Areas , 2005 .

[2]  Amit Angal,et al.  Absolute Calibration of Optical Satellite Sensors Using Libya 4 Pseudo Invariant Calibration Site , 2014, Remote. Sens..

[3]  Erik Johansson,et al.  Multi-Sensor Calibration Studies of AVHRR-Heritage Channel Radiances Using the Simultaneous Nadir Observation Approach , 2014, Remote. Sens..

[4]  Monika Lewandowska,et al.  Conceptual design and analysis of a cryogenic system for a new test facility for high temperature superconductor current leads (HTS CLs) , 2012 .

[5]  S. Skoneczny.  Nonlinear image sharpening in the HSV color space , 2012 .

[6]  X. Briottet,et al.  Shadow detection in very high spatial resolution aerial images: A comparative study , 2013 .

[7]  Yang Shao,et al.  Shadow detection and building-height estimation using IKONOS data , 2011 .

[8]  Liang Tang,et al.  Detection of and compensation for shadows in colored urban aerial images , 2004, Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788).

[9]  Mustafa Turker,et al.  Building‐based damage detection due to earthquake using the watershed segmentation of the post‐event aerial images , 2008 .

[10]  Feng Qi,et al.  Building height estimation using Google Earth , 2016 .

[11]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .

[12]  Javier Gonzalez,et al.  Shadow detection in colour high‐resolution satellite images , 2008 .

[13]  B. Markham,et al.  Forty-year calibrated record of earth-reflected radiance from Landsat: A review , 2012 .

[14]  Dong-Chen He,et al.  Detecting information under and from shadow in panchromatic Ikonos images of the city of Sherbrooke , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

[15]  Yan Li,et al.  A SYSTEM OF THE SHADOW DETECTION AND SHADOW REMOVAL FOR HIGH RESOLUTION CITY AERIAL PHOTO , 2004 .

[16]  Manfred H. Hueckel.  A Local Visual Operator Which Recognizes Edges and Lines , 1973, JACM.

[17]  Victor J. D. Tsai,et al.  A comparative study on shadow compensation of color aerial images in invariant color models , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[18]  F. Cheng,et al.  Delimiting the building heights in a city from the shadow on a panchromatic SPOT-image: Part 2: Test of a complete city , 1995 .

[19]  Guo-Sheng Xu.  Sub-pixel Edge Detection Based on Curve Fitting , 2009, 2009 Second International Conference on Information and Computing Science.

[20]  Yixiang Wang,et al.  A new calculation method for shape coefficient of residential building using Google Earth , 2014 .

[21]  Xiangqian Wu,et al.  Overview of Intercalibration of Satellite Instruments , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[22]  Taejung Kim,et al.  Automatic building height extraction by volumetric shadow analysis of monoscopic imagery , 2013 .

[23]  Manfred H. Hueckel.  An Operator Which Locates Edges in Digitized Pictures , 1971, J. ACM.

[24]  Stavros Stavrou,et al.  Satellite images analysis for shadow detection and building height estimation , 2016 .

[25]  Taejung Kim,et al.  Semiautomatic reconstruction of building height and footprints from single satellite images , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

[26]  Makoto Nagao,et al.  Region extraction and shape analysis in aerial photographs , 1979 .

[27]  P. Shi,et al.  Shadow information recovery in urban areas from very high resolution satellite imagery , 2007 .

[28]  Parvaneh Saeedi,et al.  Three-Dimensional Polygonal Building Model Estimation From Single Satellite Images , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[29]  Jefferey A. Shufelt,et al.  Performance Evaluation and Analysis of Monocular Building Extraction From Aerial Imagery , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[30]  Monjur Mourshed,et al.  A Shadow-Overlapping Algorithm for Estimating Building Heights From VHR Satellite Images , 2018, IEEE Geoscience and Remote Sensing Letters.

[31]  Liu Yi-liang.  The QuickBird RemoteSensing image extracting building shadow Information method improvement , 2013 .

[32]  Hui Luo,et al.  A Shadow Detection Method from Urban High Resolution Remote Sensing Image Based on Color Features of Shadow , 2012, 2012 Fourth International Symposium on Information Science and Engineering.

[33]  Kuo-Liang Chung,et al.  Efficient Shadow Detection of Color Aerial Images Based on Successive Thresholding Scheme , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[34]  R. Bruce Irvin,et al.  Methods For Exploiting The Relationship Between Buildings And Their Shadows In Aerial Imagery , 1989, Photonics West - Lasers and Applications in Science and Engineering.

[35]  JinLiang Wang,et al.  Information extraction of building height and density based on quick bird image in Kunming, China , 2009, 2009 Joint Urban Remote Sensing Event.

[36]  F. Cheng,et al.  Delimiting the building heights in a city from the shadow in a panchromatic spot-image , 1995 .

[37]  Franklin César Flores,et al.  Automatic shadow segmentation in aerial color images , 2003, 16th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2003).

[38]  Wen Liu,et al.  Characteristics of shadow and removal of its effects for remote sensing imagery , 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

[39]  Kumar Navulur,et al.  Trends in Optical Commercial Remote Sensing Industry [Industrial Profiles] , 2013, IEEE Geoscience and Remote Sensing Magazine.