1. INTRODUCTION
The science of 'remote sensing' in its broadest
sense has been developing since the 19th
century with the invention of photography and
the first aerial photographs taken from captive
balloons. Throughout the 20th century,
technological advances in a number of areas -
the development of colour and infra-red
sensitive films, aircraft and satellite platforms -
enlarged the sphere of remote sensing with the
development of applications such as mapping,
geological exploration and meteorology making
use of remotely sensed images. Remote sensing
as it is currently practised, however, began
with two major advances in technology - the
launch of high resolution digital imaging
systems (starting with Landsat-1 in 1972) and
the development of minicomputers and image-
display terminals in the 1970s.
With these advances, image processing systems
rapidly evolved. By the early 1980s, a typical
system would have functionality for image
input, geometric correction, classification
(supervised and unsupervised), image
enhancement, convolution, arithmetic functions
(eg. band rationing) and principal components
analysis. These would be performed as batch
or interactive operations, with special frame-
store hardware used for image display.
The evolution continued throughout the 1980s,
with an increased range of processing
functions, data from new sensors (Landsat TM,
SPOT, radar, airborne multispectral scanners),
faster processors, higher resolution displays
and user-friendly menu interfaces. Interfaces to
vector data were provided by most systems,
although with functionality largely limited to
the overlay of vector data on imagery.
Geographic Information Systems (GIS),
however, have developed from three largely
separate origins. The Canada Geographic
Information System (CGIS) was first proposed
in 1963 and was designed for overlaying vector
polygons of resource information for
applications such as land use assessment. A
different approach to the same problem was
adopted by the Harvard Laboratory for
384
Computer Graphics SYMAP system in the late
1960s, which performed overlay analysis with
raster data. These systems were the precursors
to the present-day systems designed primarily
for data overlay.
A second origin to GIS was the development
of vector-based digital mapping starting in the
late 1960s. Digital mapping systems have
evolved to the state where many map
production flowlines now use computer
technology for the manipulation of data. GIS
systems have grown from digital mapping
systems by the addition of a relational database
for the storage of attribute data and by the
provision of analytical functionality. The vector
data model that has become dominant in this
strand of GIS development, because line maps
were familiar to the first generation of GIS
users, involved in applications such as property
management and the utilities. Vector mapping
systems allowed them to replicate, in digital
form, their conventional methods of working.
A third route for the development of GIS
systems, also based on the vector data model,
was by a similar evolution from the Computer-
Aided Design (CAD) area.
GIS systems from each of these three origins
have evolved towards a common basic range of
capabilities - input, display and manipulation
of both vector and raster data, raster DTM
handling, topological structuring of vector data,
vector and/or raster polygon modelling and
analysis, and storage of attribute data in a
relational database management system. Most
systems today have the ability to perform basic
image handling tasks, such as rectification and
display as an image backdrop. Some systems
allow an image processing package to share the
same screen as the GIS, giving access to both
image processing and GIS functionality. In
addition, modern GIS system architectures can
handle large raster and vector datasets in a
seamless manner, so image processing can
escape the constraints of image scenes and map
data can escape the fetters of sheet boundaries.
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