Vegetasi di daerah perkotaan tumbuh diantara gedung dan jalan. Bangunan sekitar pohon berdampak pada identifikasi tanaman menggunakan citra drone. Paper ini menjelaskan tentang perbandingan kemampuan drone band cahaya tampak, near infrared, red-edge untuk tropis perkotaan. Kami menyusun dataset yang berisi paduan saman (Samanea Saman), cemara (Casuarina equisetifolia), pohon-lain. Setiap melalu...

Several methods exist to combine a panchromatic image of high spatial resolution with lower resolution multispectral imagery. Of particular interest are those methods designed to simulate real multispectral images having the spatial resolution of a panchromatic image. To help justify an algorithm over another one, quantitative evaluation of the quality of a fused image is necessary. In most cas...

Recently multispectral LiDAR became a promising research field for enhanced LiDAR classification workflows and e.g. the assessment of vegetation health. Current analyses on multispectral LiDAR are mainly based on experimental setups, which are often limited transferable to operational tasks. In late 2014 Optech Inc. announced the first commercially available multispectral LiDAR system for airbo...

In this paper, we investigate the usefulness of high-resolution multispectral satellite imagery for classification of urban and suburban areas and present a fuzzy logic methodology to improve classification accuracy. Panchromatic and multispectral IKONOS image datasets are analyzed for two urban locations in this study. Both multispectral and pan-sharpened multispectral images are first classif...

Although it is well recognized that photointerpretation of the Landsat imagery can provide adequate information for mapping broad categories of land cover at a reconnaissance level, it is also true that the Landsat data in digital format (CCT's) together with numerical (computer-aided) analysis techniques can provide a great deal more information at a higher level of mapping detail with mapping...