A combined change detection procedure to study desertification using opensource tools

Zanchetta, Anna; Bitelli, Gabriele

doi:10.1186/s40965-017-0023-6

Cited by 14 publications

(7 citation statements)

References 28 publications

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“…Accordingly, the first MAF-MAD component will identify areas with maximum changes, while the noise is expected to be isolated in the lower order MAF-MAD components. The use of MAD technique, either alone or in combination with MAF transform, is well-known in the remote sensing community (Coppin et al, 2002;Nori et al, 2009;Zanchetta and Bitelli, 2017).…”

Section: Developed Methodology 221 Multivariate Alteration Detection (Mad) and Maximum Autocorrelation Factor (Maf)mentioning

confidence: 99%

Panoramic Images, 2d Feature-Based and Change Detection Methods for the Documentation of Contaminated Crime Scenes

Abate

Toschi

Colls

et al. 2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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This paper aims to propose and validate a methodology which can support forensic technicians while documenting a crime scene, after a contamination event (either accidental or deliberate) has changed its original appearance. Indeed, investigators need fast and automated tools to detect changes that occurred at a scene over time, and solutions to this problem are still an open issue. The contribution of the paper for addressing this need is twofold. First, a new methodology is introduced, that exploits panoramic images acquired with the Ricoh Theta SC camera, and 2D feature-based methods. The core idea is that SIFT features inherently contain scene information and, thanks to their good stability and invariance, can be exploited to detect possible changes that occurred at a scene surveyed with multi-temporal images. Second, in order to evaluate the performance of the proposed methodology, a reference approach is applied, based on state-of-the-art change detection algorithms (MAF/MAD), originally developed for remote sensing applications. Both methods are tested by simulating a typical crime scene, and a contamination event at the Crime Scene House (UK).

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Section: Developed Methodology 221 Multivariate Alteration Detection (Mad) and Maximum Autocorrelation Factor (Maf)mentioning

confidence: 99%

Panoramic Images, 2d Feature-Based and Change Detection Methods for the Documentation of Contaminated Crime Scenes

Abate

Toschi

Colls

et al. 2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Due to its synoptic view and repeatability, satellite remote sensing offers a powerful and effective means for monitoring and interpreting environmental changes at global, regional and local scales (Kuenzer et al 2015;Ban 2017), and hence for supporting decision makers in providing better landscape management. Satellite images have provided data for the interpretation of abrupt changes caused by disasters such as earthquakes (Voigt et al 2007;Dong and Shan 2013) and floods (Franci et al 2015; and for gradual (spread over years or decades) phenomena such as such as urbanization (Franci et al 2015;Thomas et al 2003), melting glaciers (Kaab 2009), soil sealing (Casciere et al 2014), deforestation (Reiche et al 2015) and desertification (Zanchetta and Bitelli 2017).…”

Section: Documenting the Impact Of Dams On The Archaeological Heritage: The Potential Of Remote Sensing And Gismentioning

confidence: 99%

Archaeology and Dams in Southeastern Turkey

Marchetti

Bitelli

Franci

et al. 2020

JMA

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“…Accordingly, the first MAF-MAD component will identify areas with maximum changes, while the noise is expected to be isolated in the lower order MAF-MAD components. The use of the MAD technique, either alone or in combination with MAF transform, is well-known in the remote sensing community [9][10][11].…”

Section: D Change Detectionmentioning

confidence: 99%

Documentation of paintings restoration through photogrammetry and change detection algorithms

Abate

2019

Herit Sci

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The philosophical and theoretical foundations of the Theory of Restoration, envisioned by Cesare Brandi in 1975, are established around clear and straightforward guidelines on what is ethically acceptable, and unacceptable, in conservation. Specifically, the Italian scholar advocates for the complete reversibility of restoration work and respect for the history of an artwork. Indeed, according to these concepts, all interventions should be fully reversible so to return the object to its initial conditions without any damage. Bearing in mind these assumptions, a detailed documentation of all the steps of the conservation process, and the possibility to retrieve them a posteriori, must be considered essential. This concept especially applies when dealing with paintings restoration characterized by fine and small details. In recent years, the tendency is to favour minimal invasive interventions ranging from consolidation actions, cleaning samples, and colours retouching. Materials change more or less conspicuously over time according to their consistency and the intensity of the changing factors. Icons do not make an exception to this rule. This process affects the icon's whole structure: the support, the painting itself and the varnish coating. This paper investigates the performance of change detection algorithms, developed in the remote sensing domain, and, in the framework of this research applied at a microscale (paintings). Each phase of the restoration process is documented exploiting a multiepoch image acquisition. A monitoring methodology coupled with photogrammetry and 3D shape analysis is tested and described. It is anticipated that the proposed innovative use of change detection techniques can be applied to different kinds of painted surfaces. An icon, today preserved at the Byzantine Museum Makarios III Foundation in Nicosia and restored by the Department of Antiquities of Cyprus labs, has been used as a case study.

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A combined change detection procedure to study desertification using opensource tools

Cited by 14 publications

References 28 publications

Panoramic Images, 2d Feature-Based and Change Detection Methods for the Documentation of Contaminated Crime Scenes

Panoramic Images, 2d Feature-Based and Change Detection Methods for the Documentation of Contaminated Crime Scenes

Archaeology and Dams in Southeastern Turkey

Documentation of paintings restoration through photogrammetry and change detection algorithms

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