Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Georg S. Ruppert"'
Publikováno v:
Austrian Journal of Statistics, Vol 28, Iss 4 (2016)
The paper presents a method of predicting classification accuracy of remote sensing data by means of training set analysis. Various sampling plans were applied to satellite image and its complete ground truth to derive different training sets. The qu
Publikováno v:
American Journal of Roentgenology. 183:1387-1391
OBJECTIVE. The purpose of our study was to evaluate quantitative multiphasic CT enhancement patterns of malignant renal neoplasms to enable lesion differentiation by their enhancement characteristics. We used a new method to standardize enhancement m
Publikováno v:
International Journal of Neural Systems. :63-68
This paper presents a hybrid — unsupervised and supervised — classifier for land use classification of remote sensing images. The entire satellite image is quantized by an unsupervised Neural Gas process and the resulting codebook is labeled by a
Cost-effective and promising approach for camouflage assessment of MUSTAFA targets in motion imagery
Publikováno v:
SPIE Proceedings.
The camouflage assessment tool LOAT was introduced to the Austrian Air Reconnaissance Center at the end of 1999. This segmentation based and texture oriented method was already presented at AeroSense Conferences. For the new task of assessing video s
Publikováno v:
SPIE Proceedings.
A robust computer based camouflage assessment approach was presented at the AeroSense 2000 conference. Based on experiments with human observers a separability measure was developed. The method was classifier based and best results could be obtained
Publikováno v:
Scopus-Elsevier
This paper evaluates and discuses the accuracy of laser scanner in DTM (digital terrain model) generation in forested and suburban areas. Special emphasis is laid in order to optimize the selection of ground hits used for the creation of the DTM of f
Publikováno v:
SPIE Proceedings.
This paper focuses on an adaptive multi-resolutional algorithm for generating forest floor digital elevation models by processing the three dimensional data acquired by the laser scanner. The adaptivity of our algorithm ensures that it can be used su
Publikováno v:
Targets and Backgrounds VI: Characterization, Visualization, and the Detection Process.
A human-in-the-loop computer based camouflage assessment approach was already presented at the AeroSense 1998 conference.3 The same image sets were used for human photosimulation as well as for the computer assessment method. The human photosimulatio
Publikováno v:
Targets and Backgrounds VI: Characterization, Visualization, and the Detection Process.
A key point for good camouflage results in the thermal infrared domain lies in the ability of the camouflage system to adapt to the thermal emission behavior of the surrounding background. In order to obtain reliable assessments of the camouflage eff
Publikováno v:
Targets and Backgrounds VI: Characterization, Visualization, and the Detection Process.
An accurate method to detect and classify military vehicles based on the recognition of shapes is presented in this work. FFT-Descriptors are used to generate a scale, translation and rotation invariant characterization of the shape of such an object