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Mesures physiques et signatures en télédétection

Atmospheric effects are currently being implemented. Atmospheric techniques will make atmospheric correc
tions to data. These techniques allow data collected by satellites and aircraft to be corrected for the atmos
pheric effect to determine what the equivalent ground level measurements would have been. Other atmos
pheric techniques will allow data collected at ground level to be projected to different atmospheric heights.
Figure 1 shows a conceptual or goal decomposition of the VEG system.
2.1. VEG as a Workbench
The VEG system provides a workbench supporting remote sensing scientists doing analysis of optical
reflectance data. VEG was designed using object oriented programming techniques for ease of development,
data management and to facilitate continuing system evolution. VEG collects together in one program a
variety of analysis techniques that were previously only available in different formats from separate
resources. The current version of VEG has over 1500 objects including multiple rule bases, historical data
bases, graphics tools, browsers, analysis tools, interface objects and functions.
VEG encourages creative investigation by accommodating a variety of repeated tests under different con
ditions. The interface acts as a research assistant in that it tells the user which combination of data is essen
tial to a particular query, it prevents the system accepting invalid data, and it ensures that intermediate steps
in processing data are carried out in the correct order. Each time new capabilities are added to VEG, the
interface is expanded as well. The interface both prompts the user and validates the input. It helps the
scientist navigate through the system reminding him or her when a step has been neglected or a value is out
of range or of the wrong type.
VEG manages complexity providing an appropriate level of abstraction for scientific investigation. In
addition, calculations and data manipulations that used to take the scientist hours now takes seconds. The
combination of complexity management and time shrinkage, enables the scientist to do more exploratory and
"what if' thinking. It makes for more effective science.
VEG provides a number of interesting additional features. A simple interface allows the scientist to add
new techniques to VEG. Other interfaces allow data to be input from external files, and the results of
analysis to be written to external files. A tool box provides capabilities to browse the system, dynamically
plot data, get help or add text to the help system and print screen dumps. Tools are provided for managing
the interface between VEG and the operating system so that historical databases can be used or added to dur
ing sessions. A detailed description of VEG as a Workbench is described by Harrison et al. (1994).
2.2. Example Session
An example session of VEG is presented here to give a general sense of what VEG does. The inference to
be made is view angle extension. View angle extension is inferring the reflectance(s) of unknown view
angle(s) from the reflectances from known view angle(s). There are many remote sensing studies where view
angle extension capabilities are required. A more detailed description is presented by Kimes et al. (1994).
The same general scenario as presented in this example session is used by VEG to infer other vegetation
characteristics such as percent ground cover and hemispherical reflectance.
When the user choses goals referring to View Angle Extension, VEG presents the user with several
options to choose from. These include (1) extension of one view angle to another view angle, (2) extension
of multiple view angles to a another single view angle, and (3) extension of multiple view angles to another
set of multiple view angles. Multiple view angles refer to two or more view angles and the maximum
number of view angles is essentially any set of view angles that effectively cover the entire reflectance distri
bution. The system then elaborates any of these top level goals into a sequence of subgoals or tasks that
must be accomplished in order to accomplish the top level goal.
VEG queries the user for the input directional spectral data and then characterizes the input data. For
example, a list of assertions for one input data set might be: nadir data is available, 8 off-nadir view angles
are available, 1 full string is in the plane 90 degrees to principal plane of sun, etc.
Once the input data are characterized, VEG begins to characterize the target Some minimal knowledge
about the target’s characteristics can improve the accuracy of VEG’s extended view angle(s). VEG can make
inferences of the unknown target characteristics using a variety of techniques. For example one technique
that it can apply uses a linear regression where the normalized difference is the independent variable and the