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During the last 20 years, airborne laser scanning (ALS), often combined with multispectral information from aerial images, has shown its high feasibility for automated mapping processes. Recently, the...
This paper describes the possibilities of the Optech Titan multispectral airborne laser scanner in the fields of mapping and forestry. Investigation was targeted to six land cover classes. Multispectr...
Forest stands are the basic units for forest inventory and mapping. Stands are large forested areas (e.g., ≥ 2 ha) of homogeneous tree species composition. The accurate delineation of forest stands is...
Multispectral Lidar System can emit simultaneous laser pulses at the different wavelengths. The reflected multispectral energy is captured through a receiver of the sensor, and the return signal toget...
In this paper we investigate the performance of new light-weight multispectral sensors for micro UAV and their application to selected tasks in agronomical research and agricultural practice. The inve...
New sensors mounted on UAV and optimal procedures for survey, data acquisition and analysis are continuously developed and tested for applications in precision farming. Procedures to integrate multisp...
Conventional building inspection of bridges, dams or large constructions in general is rather time consuming and often cost expensive due to traffic closures and the need of special heavy vehicles suc...
Since the launch of high-resolution sensors, the use of satellite images as a major source of spatial information has been the subject of extensive research in a broad range of applications. In partic...
Airborne pushbroom systems for the direct acquisition of digital imagery enable the simultaneous capture of high quality 3D and multispectral information of a scene. The combination of geometric and r...
Current high spatial resolution satellite sensors lack the spectral resolution required for many quantitative remote sensing applications and, given the limited spectral resolution, they only allow ...
Land use information is one of the most useful input element in forming policies concerning to economic, environmental issues at national and also at global levels. With the view of these different sp...
A new feature-level fusion is presented for modelling individual trees by applying watershed segmentation and subsequent classification, using tree heights and tree crown signatures derived from light...
Image classification and change detection is a hot topic in remote sensing. This paper sought to apply the method of independent component analysis (ICA), which develops from blind source separation, ...
For a clustering algorithm, the number of clusters is a key parameter since it is directly related to the number of homogenous regions in the given image. Although ISODATA clustering algorithm can det...
The main task is to apply in the Araucaria angustifolia (Brazilian pine) biome, the multi-temporal change detection algorithm "RCNA multi-spectral", using TM/Landsat-7 and CCD/CBERS-2 images. The stud...

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