2015
DOI: 10.5194/isprsarchives-xl-1-w4-167-2015
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Region-Based 3d Surface Reconstruction Using Images Acquired by Low-Cost Unmanned Aerial Systems

Abstract: ABSTRACT:An empirical relationship of Total Suspended Sediments (TSS) concentrations and reflectance values obtained with Drones' aerial photos and processed using remote sensing tools was set up as the main objective of this research. A local mathematic algorithm for the micro-watershed of the Teusacá River at La Calera, Colombia, was developed based on the computing of four component of bands from consumed-grade cameras obtaining from each their corresponding reflectance values from procedures for correcting… Show more

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Cited by 5 publications
(7 citation statements)
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“…In the past few years, low-cost Unmanned Airborne Vehicles (UAVs) equipped with consumer-grade imaging systems (e.g., commercial off-the-shelf digital camera) have emerged as a potential remote sensing platform that could satisfy the needs of a wide range of applications, such as precision agriculture [1][2][3][4][5][6][7][8][9], environmental monitoring [10][11][12][13][14], forest inventory [15,16], wildlife research [17,18], and archaeological applications [19,20]. Compared to conventional human-operated terrestrial and airborne mapping/remote sensing systems, the advantages of UAVs include their low-cost, small size, low flying height, ease of storage and deployment, and the capability of providing high spatial resolution geospatial data at a higher data collection rate [21][22][23]. From a mapping point of view, deriving accurate three-dimensional (3-D) geo-spatial information from UAV-based imagery requires the interior orientation parameters (IOPs) of the utilized camera, and exterior orientation parameters (EOPs) of the involved images.…”
Section: Introductionmentioning
confidence: 99%
“…In the past few years, low-cost Unmanned Airborne Vehicles (UAVs) equipped with consumer-grade imaging systems (e.g., commercial off-the-shelf digital camera) have emerged as a potential remote sensing platform that could satisfy the needs of a wide range of applications, such as precision agriculture [1][2][3][4][5][6][7][8][9], environmental monitoring [10][11][12][13][14], forest inventory [15,16], wildlife research [17,18], and archaeological applications [19,20]. Compared to conventional human-operated terrestrial and airborne mapping/remote sensing systems, the advantages of UAVs include their low-cost, small size, low flying height, ease of storage and deployment, and the capability of providing high spatial resolution geospatial data at a higher data collection rate [21][22][23]. From a mapping point of view, deriving accurate three-dimensional (3-D) geo-spatial information from UAV-based imagery requires the interior orientation parameters (IOPs) of the utilized camera, and exterior orientation parameters (EOPs) of the involved images.…”
Section: Introductionmentioning
confidence: 99%
“…With the even greater advances in computing power of the last years, a new approach became popular: shape from motion 2007), which is present in several works (Manferdini;Makantasis et al;Lari et al;. This approach generally relies on a large amount of still images with considerable overlap (or a video) and works by tracking points of interest across di erent images of a set.…”
Section: Image-basedmentioning
confidence: 99%
“…Some popular approaches include using pairwise stereoscopy 2007), the silhouettes of the objects (Brusco et al; or the estimate of motion between pictures (Lari et al;Manferdini;. Image-based 3D reconstruction is usually more accessible in terms of necessary hardware than scanner-based approaches, due to the wide availability and low price of digital cameras.…”
Section: D Reconstructionmentioning
confidence: 99%
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