A Multiple Bands Pixel Shape Index for Classification of LiDAR and Hyperspectral Data
نویسندگان
چکیده
منابع مشابه
Pixel-based Land Cover Classification by Fusing Hyperspectral and Lidar Data
Land cover classification has many applications like forest management, urban planning, land use change identification and environment change analysis. The passive sensing of hyperspectral systems can be effective in describing the phenomenology of the observed area over hundreds of (narrow) spectral bands. On the other hand, the active sensing of LiDAR (Light Detection and Ranging) systems can...
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Remote sensing image analysis can be carried out at the per-pixel (hard) and sub-pixel (soft) scales. The former refers to the purity of image pixels, while the latter refers to the mixed spectra resulting from all objects composing of the image pixels. The spectral unmixing methods have been developed to decompose mixed spectra. Data-driven unmixing algorithms utilize the reference data called...
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In the past decade, LIght Detection And Ranging (LIDAR) has been recognised by both the commercial and public sector as a reliable and accurate source for land surveying. Object classification in LIDAR data tends towards data fusion by employing additional simultaneously recorded bands. In this paper, a supervised classification algorithm based on Maximum Likelihood is presented using high reso...
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ژورنال
عنوان ژورنال: Geomatics Science and Technology
سال: 2016
ISSN: 2329-549X,2329-7239
DOI: 10.12677/gst.2016.44014