PhotoLin: a program to identify and analyze linear structures in aerial photographs, satellite images and maps

Costa, Ricardo Diniz da; Starkey, John

doi:10.1016/s0098-3004(00)00146-1

Cited by 26 publications

(10 citation statements)

References 5 publications

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“…Recently different algorithms have been published describing the extraction of lineaments directly from digital images and aerial photos (e.g. Budkewitsch et al, 1994;Raghavan et al, 1995;Koike et al, 2001;Costa and Starkey, 2001). These techniques can reduce to a minimum the bias in the manual interpretation.…”

Section: Structural Mappingmentioning

confidence: 99%

Application of remote sensing and GIS in mineral resource mapping-An overview

Rajesh

2004

Journal of Mineralogical and Petrological Sciences

107

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Remote sensing, as a direct adjunct to field, lithologic and structural mapping, and more recently, GIS have played an important role in the study of mineralized areas. A review on the application of remote sensing in mineral resource mapping is attempted here. It involves understanding the application of remote sensing in lithologic, structural and alteration mapping. Remote sensing becomes an important tool for locating mineral deposits, in its own right, when the primary and secondary processes of mineralization result in the formation of spectral anomalies. Reconnaissance lithologic mapping is usually the first step of mineral resource mapping. This is complimented with structural mapping, as mineral deposits usually occur along or adjacent to geologic structures, and alteration mapping, as mineral deposits are commonly associated with hydrothermal alteration of the surrounding rocks. In addition to these, understanding the use of hyperspectral remote sensing is crucial as hyperspectral data can help identify and thematically map regions of exploration interest by using the distinct absorption features of most minerals. Finally coming to the exploration stage, GIS forms the perfect tool in integrating and analyzing various georeferenced geoscience data in selecting the best sites of mineral deposits or rather good candidates for further exploration.

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Section: Structural Mappingmentioning

confidence: 99%

Application of remote sensing and GIS in mineral resource mapping-An overview

Rajesh

2004

Journal of Mineralogical and Petrological Sciences

107

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“…During the dilation objects are increased by one pixel on their boundaries. As a possible effect, gaps within the object or between near objects are closed (Costa and Starkey, 2001;Pratt, 2007). The concatenated erosion removes single not connected pixel.…”

Section: Object-based Image Analysismentioning

confidence: 99%

“…Based on experience and expert knowledge they can be evaluated as objective but irreproducible and inefficient in terms of time and labour, especially when focused on a macroscale (Costa and Starkey, 2001;Hung et al, 2005;Sander, 2007;Vaz et al, 2008). Thus, in order to obtain reproducible and objective criterions as well as efficient procedures, automated and semi-automated algorithms (e.g.…”

Section: Introductionmentioning

confidence: 99%

Derivation of groundwater flow-paths based on semi-automatic extraction of lineaments from remote sensing data

Mallast

Gloaguen

Geyer

et al. 2011

Hydrol. Earth Syst. Sci.

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Abstract. In this paper we present a semi-automatic method to infer groundwater flow-paths based on the extraction of lineaments from digital elevation models. This method is especially adequate in remote and inaccessible areas where in-situ data are scarce. The combined method of linear filtering and object-based classification provides a lineament map with a high degree of accuracy. Subsequently, lineaments are differentiated into geological and morphological lineaments using auxiliary information and finally evaluated in terms of hydro-geological significance. Using the example of the western catchment of the Dead Sea (Israel/Palestine), the orientation and location of the differentiated lineaments are compared to characteristics of known structural features. We demonstrate that a strong correlation between lineaments and structural features exists. Using Euclidean distances between lineaments and wells provides an assessment criterion to evaluate the hydraulic significance of detected lineaments. Based on this analysis, we suggest that the statistical analysis of lineaments allows a delineation of flow-paths and thus significant information on groundwater movements. To validate the flow-paths we compare them to existing results of groundwater models that are based on well data.

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“…Most of the classical lineament extraction approaches were made based on the manual interpretation which involved experience and expert knowledge. But they were irreproducible and inefficient in terms of time and labour especially with macroscale focus (Costa & Starkey 2001;Sander 2007). Thus, for reproducing efficient results while meeting the objective, automated and semi-automated algorithms like segment tracing algorithm, Hough Transform, PCI LINE were developed (Karnieli et al 1996).…”

Section: Introductionmentioning

confidence: 99%

Delineation and assessment of Central Indian Suture through lineament extraction approach using Remote Sensing and Geographic Information System

Ganguly

Mitran

2015

Geocarto International

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Lineament extraction approach allowed mapping of larger number of lineaments in a classical manner in tectonic and structural studies. In the present study, various techniques were adopted to extract lineaments using Landsat ETM+ images. To remove the biasness of the images, some pre-processing techniques like stream ordering, band differencing, colour texturing were employed to enhance the edges of the structural features. Extracted lineaments and its distribution and orientation were mapped using ArcGIS Spatial analyst tool. Results of the study showed maximum number of lineaments were oriented in the ENE-SWS direction with 63°over-all inclination. Accuracy assessment and validation were made with respect to visual interpretation and overlaying the lineament on Digital Topographic Model as well as with respect to an existing geological lineament map of the study site. The result of accuracy assessment indicates higher compatibility of Central Indian Suture with the geological map of the study area.

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PhotoLin: a program to identify and analyze linear structures in aerial photographs, satellite images and maps

Cited by 26 publications

References 5 publications

Application of remote sensing and GIS in mineral resource mapping-An overview

Application of remote sensing and GIS in mineral resource mapping-An overview

Derivation of groundwater flow-paths based on semi-automatic extraction of lineaments from remote sensing data

Delineation and assessment of Central Indian Suture through lineament extraction approach using Remote Sensing and Geographic Information System

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