High Resolution 1:10,000 scale Mapping Strategy of Multi ... - NDMA

is a significant reduction in data rate and volume. FSI extracts and saves only the
information that is in the raw data. The information is contained in the shape of the
spectral curves. The rate at which data is produced by an FSI system is proportional
to the amount of information in the scene/image.
Full Spectral Imaging, along with empirical reflectance retrieval and
autonomous remote sensing are the components of the new system for remote
sensing. the new system for remote sensing could be the successor to the Landsat
series of satellites of the Landsat program. The concepts mentioned above have
been developed in collaboration with many experts, most of whom have little to
nothing to do with traditional remote sensing.
Satellite Imaging uses advanced image processing
techniques from various satellite sensors such as
color and panchromatic image data processing,
orthorectification, Pan sharpening with image data
fusion, image enhancements, georeferencing,
mosaicing, and color/gray scale balancing and is used
in various applications.
Specialized imaging processing techniques
Figure App 9.1: Geometry of
Direct Geo-referencing
are required to convert the apparent surface reflectance before analysis can take
place. Atmospheric correction such as ATCOR (Atmospheric and Topographic
Correction) techniques are used to retrieve physical parameters of the earth's
surface such as atmospheric conditions (emission, temperature), thermal and
atmospheric radiance and transmittance functions to simulate the simplified
properties of a 3D atmosphere.
Classification and feature extraction methods have been commonly used for
many years for the mapping of minerals and vegetative cover of multispectral and
hyperspectral data sets. Vector data structure is essential to most mapping, GIS
(geographic information system), and CAD (computer aided design) software
packages, which might export data to vector formats such as shape files, DXF,
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