Add to ORKGThree algorithms for line detection, the linear detector, the nonlinear detector, and the semilinear detector are examined. Experiments are conducted on detecting linear features in terrain on LANDSAT-1 images, and on detecting suburban roads on Skylab images
Lineaments play tremendous role for preliminary exploration for characterization of geologic structu...
In this report, the principles of man-made object detection in satellite images is investigated. An ...
Human investigators were observed while attempting to process satellite images for the purpose of ex...
A line detector has been derived which combines the advantages of existing \u27non-linear\u27 and \u...
Remote sensing data is a source for deriving a spatial graph of the Earth's surface, which is mainly...
Lines and curves in an image are detected locally by a template-matching process which determines th...
This poster paper describes the evaluation of four popular or new edge detection algorithms for Land...
An algorithm is described designed to locate and connect linear features with identical characterist...
The geometric and radiometric characteristics of thematic mapper data through analysis of linear fea...
Accurate feature detection is key to higher level decisions regarding image content. Within the doma...
This method is a continuation of the work of many previous investigators in the detection of lineame...
This work deals with object-based classification of high resolution data. The aim of the thesis (pap...
Lineament enhancement is an important subject in image processing. In this paper a simple but powerf...
This paper proposes a novel approach for linear feature detection. The contribution is twofold: a no...
A method for computer extraction of geological lineaments from LANDSAT images is presented. The vari...
Lineaments play tremendous role for preliminary exploration for characterization of geologic structu...
In this report, the principles of man-made object detection in satellite images is investigated. An ...
Human investigators were observed while attempting to process satellite images for the purpose of ex...
A line detector has been derived which combines the advantages of existing \u27non-linear\u27 and \u...
Remote sensing data is a source for deriving a spatial graph of the Earth's surface, which is mainly...
Lines and curves in an image are detected locally by a template-matching process which determines th...
This poster paper describes the evaluation of four popular or new edge detection algorithms for Land...
An algorithm is described designed to locate and connect linear features with identical characterist...
The geometric and radiometric characteristics of thematic mapper data through analysis of linear fea...
Accurate feature detection is key to higher level decisions regarding image content. Within the doma...
This method is a continuation of the work of many previous investigators in the detection of lineame...
This work deals with object-based classification of high resolution data. The aim of the thesis (pap...
Lineament enhancement is an important subject in image processing. In this paper a simple but powerf...
This paper proposes a novel approach for linear feature detection. The contribution is twofold: a no...
A method for computer extraction of geological lineaments from LANDSAT images is presented. The vari...
Lineaments play tremendous role for preliminary exploration for characterization of geologic structu...
In this report, the principles of man-made object detection in satellite images is investigated. An ...
Human investigators were observed while attempting to process satellite images for the purpose of ex...