IEEE Geoscience and Remote Sensing Magazine - March 2017 - 33

Remote Sensing
Image
Classification
A survey of support-vector-machine-based
advanced techniques

UJJWaL maULIK aND DEBaSIS chaKraBOrTY

L

and-cover mapping in remote sensing (RS) applications renders rich information for decision support
and environmental monitoring systems. The derivation
of such information increasingly relies on robust classification methods for identifying the complex land-cover
area of different categories. Numerous classification techniques have been designed for the analysis of RS imagery.
In this context, support vector machines (SVMs) have recently received increasing interest. However, the need for
a small-size training set remains a bottleneck to design
efficient supervised classifiers, while an adequate number of unlabeled data is readily available in RS images
and can be exploited as a supplementary source of information. To fully leverage these precious unlabeled data,
a number of promising advanced SVM-based methods,
such as active SVMs, semisupervised SVMs (S3VMs), and
SVMs combined with other algorithms, have been developed to analyze satellite imagery. In this literature review,
we have surveyed these learning techniques to explore RS
images. Moreover, we have provided the empirical evidences of SVMs and three representative techniques. It is
our hope that this review will provide guidelines to future
researchers to enhance further algorithmic developments
in RS applications.

Digital Object Identifier 10.1109/MGRS.2016.2641240
Date of publication: 16 March 2017

march 2017

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REMOTE SENSING IMAGE ANALYSIS
RS image analysis is an interesting area of research because
information embedded in remotely sensed data are used
in many applications, including agriculture, forestry, urban monitoring, disaster management, robot navigation,
and many others. This interest is due to the high quality
of information that can be derived from RS images using
suitable machine-learning algorithms. The advances in imaging sensors and satellite technologies are capable of providing very-high-resolution (VHR) images from airborne
and satellite platforms. These images, including both airborne and spaceborne sensor data, vary in spatial, radiometric, spectral, and temporal resolutions. The user's need
determines the nature of classification and the scale of the
study area, thus affecting the selection of suitable spatial
resolution of remotely sensed data. To accommodate such a
growing interest, there is a continuous demand for sophisticated algorithmic methods for the accurate mapping of
high-resolution RS images. Readers can find more information about RS systems in [1].
0274-6638/17©2017IEEE

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Table of Contents for the Digital Edition of IEEE Geoscience and Remote Sensing Magazine - March 2017

IEEE Geoscience and Remote Sensing Magazine - March 2017 - Cover1
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