isprs archives XLI B7 405 2016
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Raw satellite images are projected in a ground geometry using a coarse DSM (e.g. SRTM, ASTER GDEM) or other freely avail- able DSMs for the area of interest; this is done using the
In the main step, spectral unmixing of the OLI images is applied to the larch forest, specifying the larch tree spectral signal based on corrected field spectrometer measurements of
Based on this background, we have recently developed a method, Pseudo-Hyperspectral Image Synthesis Algorithm (PHISA), to transform Landsat imagery into hyperspectral imagery using
In this paper, combining with texture and the spectral indices, including Brightness, Soil adjusted vegetation index SAVI, Normalized Differences Water Index (NDWI) and
The study has comprehensively analyzed crop spectral reflectance characteristics, researched and verified the response relationship of crops biochemical parameter changes under
Using the same classification algorithm and classified in the same semantic hierarchy, the relationship of the image quality index and classification accuracy is discussed
Figure 2: Footprint detection workflow; (a) rotated panchromatic aerial image, (b) normalized DSM (nDSM), (c) detected line seg- ments using the LSD algorithm, (d) line
According to the requirements of obst acle clearance surveying at QT airport, aerial and satellite imagery were used to generate DSM, by means of photogrammetry, which
