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SMARTSe. Hyperspectral Imaging and Remote Sensing of Transportation Infrastructure. Regular performance and condition assessment of the transportation system's complex interacting network of multimodal systems is expensive. Hyperspectral imaging is an emerging remote sensing technique for the non-destructive evaluation …
Principal Component Analysis (PCA) is a method based on statistics and linear algebra techniques, used in hyperspectral satellite imagery for data dimensionality reduction required in order to speed up and increase the performance of subsequent hyperspectral image processing algorithms. This paper introduces the PCA approximation method …
in hyperspectral remote sensing technology have shown capabilities to derive physical and chemical material properties on a very detailed level (Clark, 1999). Consequently one would raise the questions: Are asphalt road surface conditions reflected in the spectral characteristics of these surfaces? The Santa Barbara asphalt road spectra library was
MAPPING ASPHALT ROAD CONDITIONS WITH HYPERSPECTRAL REMOTE SENSING . Martin Herold a, and Dar A. Roberts b . a ESA GOFC-GOLD Land Cover Project Office, Dep. of Geography, FSU Jena, Loebedergraben 32, 07743 Jena, Germany, [email protected] b Dep. of Geography, University of California Santa Barbara, …
SMARTSe. Hyperspectral Imaging and Remote Sensing of Transportation Infrastructure. Regular performance and condition assessment of the transportation system's complex interacting network …
Abstract. An investigation of hyperspectral remote sensing for mapping asphalt road conditions is undertaken in this study. Hyperspectral data acquired by the …
This project will produce maps of surface mineralogy at 15 m spatial resolution covering the largest contiguous area of hyperspectral imagery that has ever been assembled for the U.S., over 380,000 sq. km. in California and Nevada. We are developing new methods to apply these data to map critical minerals, including minerals …
Abstract. An investigation of hyperspectral remote sensing for mapping asphalt road conditions is undertaken in this study. Hyperspectral data acquired by the GER1500 radiometer and the Compact ...
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MAPPING ASPHALT ROAD CONDITIONS WITH HYPERSPECTRAL REMOTE SENSING Martin Herold a, and Dar A. Roberts b a ESA GOFC-GOLD Land Cover Project Office, Dep. of Geography, FSU Jena, Loebedergraben 32, 07743 Jena, Germany, [email protected]. b Dep. of Geography, University of California Santa Barbara, Ellison Hall, Santa Barbara, …
Remote sensing can be used to monitor changes of asphalt pavement condition because of the spectral change of aged asphalt material. However, owing to coarse spatial resolution of images and the limited width of roads ambient land cover types (e.g. vegetation, buildings, and soil) affect the spectral signal and add significant …
To overcome the difficulty of automating and intelligently classifying the ground features in remote-sensing hyperspectral images, machine learning methods are gradually introduced into the process of remote-sensing imaging. First, the PaviaU, Botswana, and Cuprite hyperspectral datasets are selected as research subjects in this …
Evaluating the realistic feasibility of using hyperspectral remote sensing airborne data for mapping asphaltic roads' transportation safety by quantifying the road-tire friction by developing a partial least squares regression model using PARACUDA-II spectral data mining engine. The purpose of this study is to evaluate a realistic feasibility of using …
Figure 1: Spectral effects of asphalt aging and deterioration from the ASD ground spectral measurements. The individual road surfaces of Diagram A are labeled with age, Pavement Condition Index (PCI) and the Structure Index (SI) from the Roadware vehicle observations. Diagram B compares Spectrum C with surfaces (same PCI and SI) with different severity …
Mapping asphalt. road conditions with hyperspectral remote sensing. 01 2005. [6] V. Noronha, M. Herold, D. Roberts, and M. Gardner. ... The purpose of this study is to evaluate a realistic ...
MAPPING ASPHALT ROAD CONDITIONS WITH HYPERSPECTRAL REMOTE SENSING. M. Herold, D. Roberts. Published 2005. Environmental Science. This study integrates …
Hyperspectral remote sensing is useful for the study of urban environment due to its ability to examine the comprehensive spectral characteristics of urban built-up surfaces and materials. ... Andreou C, Karathanassi V, Kolokoussis P (2011) Investigation of hyperspectral remote sensing for mapping asphalt road conditions. Int J Remote …
In 2012, Mohammadi [195] used HyMap airborne hyperspectral image data to study the classification of materials used in urban roads and the state of asphalt road conditions. He mainly …
Remote sensing can be used to monitor changes of asphalt pavement condition because of the spectral change of aged asphalt material. However, owing to coarse spatial resolution of images and the limited width of roads ambient land cover types (e.g. vegetation, buildings, and soil) affect the spectral signal and add significant …
Moreover, asphalt classification by remote sensing could be a useful approach to optimize road network management. This is mainly due to the need to apply the newest, least time-consuming technologies to analyze large areas to maintain safety standards and to provide knowledge on road age and distress.
MAPPING ASPHALT ROAD CONDITIONS WITH HYPERSPECTRAL REMOTE SENSING Martin Herold a, and Dar A. Roberts b a ESA GOFC-GOLD Land Cover Project Office, …
uncertainty to analysis of road conditions. To overcome this problem, multiple endmember spectral mixture analysis (MESMA) was employed to map asphalt pavement condition using WorldView-2 satellite imagery with eight bands spanning from visible to near infrared. 2. Data . and method. 2.1. Study area and remote sensing data
2.2 Paved roads. Paved roads are typically categorized as either a flexible or rigid pavement system. Sometimes, as part of the reclamation, the old road is not completely removed prior to construction of the new road and is referred to as a composite pavement [].The major difference between flexible and rigid pavement systems is the …
We integrate ground spectrometry, imaging spectrometry, and in situ pavement condition surveys for assessment of asphalt road infrastructure. There is strong spectral evidence for asphalt aging and deterioration. Several spectral measures derived from field and image spectra correlate well with pavement quality indicators (e.g., a pavement condition …
MAPPING ASPHALT ROAD CONDITIONS WITH HYPERSPECTRAL REMOTE SENSING Martin Herold a, and Dar A. Roberts b a ESA GOFC-GOLD Land Cover Project Office, Dep. of Geography, FSU Jena, Loebedergraben 32, 07743 Jena, Germany, [email protected] b Dep. of Geography, University of California Santa Barbara, …