Dr. Lucio André de Castro Jorge Profile

Dr. Lucio André de Castro Jorge

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Publications (5)

SPIE Journal Paper | 28 February 2018

High accuracy mapping with cartographic assessment for a fixed-wing remotely piloted aircraft system

Leomar Rufino Alves Júnior, Manuel Ferreira, João Batista Ramos Côrtes, Lúcio André de Castro Jorge

JARS, Vol. 12, Issue 01, 014003, (February 2018) https://doi.org/10.1117/12.10.1117/1.JRS.12.014003

KEYWORDS: Photography, Orthophoto maps, Cameras, Content addressable memory, Satellite navigation systems, Receivers, Calibration, Buildings, Visualization, Global Positioning System

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The lack of updated maps on large scale representations has encouraged the use of remotely piloted aircraft systems (RPAS) to generate maps for a wide range of professionals. However, some questions arise: do the orthomosaics generated by these systems have the cartographic precision required to use them? Which problems can be identified in stitching orthophotos to generate orthomosaics? To answer these questions, an aerophotogrammetric survey was conducted in an environmental conservation unit in the city of Goiânia. The flight plan was set up using the E-motion software, provided by Sensefly—a Swiss manufacturer of the RPAS Swinglet CAM used in this work. The camera installed in the RPAS was the Canon IXUS 220 HS, with the number of pixels in the sensor array of 12.1 megapixel, complementary metal oxide semiconductor 1 ∶ 2.3 ? (4000 × 3000 pixel), horizontal and vertical pixel sizes of 1.54 μm. Using the orthophotos, four orthomosaics were generated in the Pix4D mapper software. The first orthomosaic was generated without using the control points. The other three mosaics were generated using 4, 8, and 16 premarked ground control points. To check the precision and accuracy of the orthomosaics, 46 premarked targets were uniformly distributed in the block. The three-dimensional (3-D) coordinates of the premarked targets were read on the orthomosaic and compared with the coordinates obtained by the geodetic survey real-time kinematic positioning method using the global navigation satellite system receiver signals. The cartographic accuracy standard was evaluated by discrepancies between these coordinates. The bias was analyzed by the Student’s t test and the accuracy by the chi-square probability considering the orthomosaic on a scale of 1 ∶ 250, in which 90% of the points tested must have a planimetric error of <0.13 m with a standard deviation of 0.08 m and altimetric errors of <0.30 m with a standard deviation of 0.20 m. It was observed that some buildings in the orthomosaics were not properly orthorectified. The orthomosaics generated with 8 or more points reached the scale of 1 ∶ 250, whereas without control points the scale was 10-fold smaller (1 ∶ 3000).

Proceedings Article | 26 October 2016 Paper

Software for hyperspectral, joint photographic experts group (.JPG), portable network graphics (.PNG) and tagged image file format (.TIFF) segmentation

L. S. Bruno, B. P. Rodrigo, A. de C. Jorge Lucio

Proceedings Volume 10008, 1000815 (2016) https://doi.org/10.1117/12.2242156

KEYWORDS: Image segmentation, Neural networks, Hyperspectral imaging, Image processing, RGB color model, Visualization, Software development, Image processing algorithms and systems, Neurons, Eye models

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Proceedings Article | 25 October 2016 Presentation + Paper

Aerial image mosaics built using images with vegetation index pre-calculated

Leandro Rosendo Candido, Lúcio André de Castro Jorge, Maximiliam Luppe

Proceedings Volume 9998, 99980K (2016) https://doi.org/10.1117/12.2241066

KEYWORDS: Vegetation, Agriculture, Electromagnetism, Image processing, Image sensors, RGB color model, Image processing software, Feature extraction, Remote sensing, Atmospheric sensing

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Proceedings Article | 21 October 2014 Paper

Insights and recommendations of use of UAV platforms in precision agriculture in Brazil

Lúcio A. Jorge, Ziany Brandão, Ricardo Inamasu

Proceedings Volume 9239, 923911 (2014) https://doi.org/10.1117/12.2067450

KEYWORDS: Unmanned aerial vehicles, Agriculture, Sensors, Cameras, Visible radiation, Vegetation, Hyperspectral imaging, Near infrared, Reflectivity, Image processing

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Proceedings Article | 21 October 2014 Paper

Spectral reflectance of satellite images using geostatistics methods to estimate growth and cotton yield

Ziany Brandão, Célia Grego, Ricardo Inamasu, Lúcio Jorge

Proceedings Volume 9239, 923920 (2014) https://doi.org/10.1117/12.2067257

KEYWORDS: Satellites, Satellite imaging, Earth observing sensors, Reflectivity, Nitrogen, Statistical analysis, Data modeling, Sensors, Spatial resolution, Vegetation

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