AN APPROXIMATE METHOD OF EVALUATING THE DISTANCES IN SOME AERIAL IMAGES

Ciprian Rujescu, Cristian Constantinescu, Mihai Herbei, Florin Sala

Abstract


Regarding the aerial images used in the fields in which a very high accuracy of the evaluated parameters is not necessary, approximate methods of determining the size of the photographed elements can be used. The present paperwork represents a study regarding the distance evaluation between two points in relation with the height of the camera, based on the theory of regression. Following the analysis of several images taken from different heights of 25-70 m, high values of the correlation coefficient were determined as well as the value sig f. of 0.002 respectively F = 414.7, for the inverse function, which indicated a higher confidence level in the functional model.


Keywords


aerial images; forest vegetation; theory of regression

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References


ABER J. S., MARZOLFF I., & RIES J., 2010, Small-format aerial photography: Principles, techniques and geoscience applications, Elsevier

CANDIAGO, S., REMONDINO F., DE GIGLIO M., DUBBINI M., & GATTELLI, M., 2015, Evaluating multispectral images and vegetation indices for precision farming applications from UAV images. Remote Sensing, 7(4), 4026-4047

ftp://public.dhe.ibm.com/software/analytics/spss/documentation/statistics/21.0/en/client/Manuals/IBM_SPSS_Statistics_Core_System_Users_Guide.pdf

GERARD F., PETIT S., SMITH G., THOMSON A., BROWN N., MANCHESTER S., ... & BOLTIZIAR M., 2010, Land cover change in Europe between 1950 and 2000 determined employing aerial photography. Progress in Physical Geography, 34(2), 183-205

GRENZDÖRFFER G. J., ENGEL A., TEICHERT B., 2008, The photogrammetric potential of low-cost UAVs in forestry and agriculture. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 31(B3), 1207-1214

HERBEI M. SALA F., BOLDEA M., 2015, Relation of normalized difference vegetation index with some spectral bands of satellite images. AIP Conference Proceedings 1648: 670003-1 – 670003-4

HERBEI M.V., SALA F., BOLDEA M., 2015, Using mathematical algorithms for classification of LANDSAT 8 satellite images AIP Conference Proceedings 1648: 670004-1 – 670004-4

HERBEI M.V., SALA F., 2015, Use landsat image to evaluate vegetation stage in sunflower crops. AgroLife Scientific Journal 4(1): 79-86

MIRIJOVSKY J., & BRUS J., 2011, Utilization of a small-format aerial photography from drone pixy concept in the evaluation of the landscape changes. 11th International Multidisciplinary Scientific GeoConference SGEM2011, 2, 345-352

PETRIE G., 2009, Systematic oblique aerial photography using multiple digital cameras. Photogrammetric Engineering & Remote Sensing, 75(2), 102-107

QUILTER M. C., & ANDERSON V. J., 2000, Low altitude/large scale aerial photographs: A tool for range and resource managers. Rangelands Archives, 22(2), 13-17

SALA F., HERBEI M.V., RUJESCU C., 2017, Morphology characterization of a plowed land through fractal analysis, Volume 21(1), 165- 173, 2017 Journal of Horticulture, Forestry and Biotechnology www.journal-hfb.usab-tm.ro

SUÁREZ J. C., ONTIVEROS C., SMITH S., & SNAPE S., 2005, Use of airborne LiDAR and aerial photography in the estimation of individual tree heights in forestry. Computers & Geosciences, 31(2), 253-262

TURNER D., LUCIEER A., & WATSON C., 2012, An automated technique for generating georectified mosaics from ultra-high resolution unmanned aerial vehicle (uav) imagery, based on structure from motion (sfm) point clouds. Remote sensing, 4(5), 1392-1410

VERHOEVEN G. J., 2009, PROVIDING AN ARCHAEOLOGICAL BIRD'S‐EYE VIEW–AN overall picture of ground‐based means to execute low‐altitude aerial photography (LAAP) in Archaeology. Archaeological Prospection, 16(4), 233-249


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Copyright (c) 2018 Ciprian Rujescu, Cristian Constantinescu, Mihai Herbei, Florin Sala

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LUCRĂRI ȘTIINȚIFICE MANAGEMENT AGRICOL

ISSN print 1453-1410
ISSN online 2069-2307
(former ISSN 1453-1410, E-ISSN 2069-2307)

PUBLISHER: AGROPRINT Timisoara, Romania
PAPER ACCESS: Full text articles available for free
FREQUENCY: Annual
PUBLICATION LANGUAGE: English

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Banat's University of Agricultural Sciences and Veterinary Medicine "King Michael I of Romania" from Timisoara
Faculty of Agricultural Management
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