[图书][B] Classification methods for remotely sensed data

P Mather, B Tso - 2016 - taylorfrancis.com
Since the publishing of the first edition of Classification Methods for Remotely Sensed Data
in 2001, the field of pattern recognition has expanded in many new directions that make use …

Multisensor fusion and integration: approaches, applications, and future research directions

RC Luo, CC Yih, KL Su - IEEE Sensors journal, 2002 - ieeexplore.ieee.org
Multisensor fusion and integration is a rapidly evolving research area and requires
interdisciplinary knowledge in control theory, signal processing, artificial intelligence …

Comparison and improvement of methods for identifying waterbodies in remotely sensed imagery

F Sun, W Sun, J Chen, P Gong - International journal of remote …, 2012 - Taylor & Francis
This article first examines three existing methods of delineating open water features, ie the
normalized difference water index (NDWI), the modified normalized difference water index …

Simultaneous detection of lane and pavement boundaries using model-based multisensor fusion

B Ma, S Lakshmanan, AO Hero - IEEE Transactions on …, 2000 - ieeexplore.ieee.org
Treats a problem arising in the design of intelligent vehicles: automated detection of lane
and pavement boundaries using forward-looking optical and radar imaging sensors …

New postprocessing methods for remote sensing image classification: A systematic study

X Huang, Q Lu, L Zhang, A Plaza - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
This paper develops several new strategies for remote sensing image classification
postprocessing (CPP) and conducts a systematic study in this area. CPP is defined as a …

Spatio-spectral remote sensing image classification with graph kernels

G Camps-Valls, N Shervashidze… - IEEE Geoscience and …, 2010 - ieeexplore.ieee.org
This letter presents a graph kernel for spatio-spectral remote sensing image classification
with support vector machines (SVMs). The method considers higher order relations in the …

Multisensor data fusion using fuzzy concepts: application to land-cover classification using ERS-1/JERS-1 SAR composites

B Solaiman, LE Pierce, FT Ulaby - IEEE Transactions on …, 1999 - ieeexplore.ieee.org
A fuzzy-based multisensor data fusion classifier is developed and applied to land cover
classification using ERS 1/JERS-1 SAR composites. This classifier aims at the integration of …

A multiscale feature fusion approach for classification of very high resolution satellite imagery based on wavelet transform

X Huang, L Zhang, P Li - International Journal of Remote Sensing, 2008 - Taylor & Francis
A novel methodology based on multiscale spectral and spatial information fusion using
wavelet transform is proposed in order to classify very high resolution (VHR) satellite …

Information fusion, application to data and model fusion for ultrasound image segmentation

B Solaiman, R Debon, F Pipelier… - IEEE Transactions …, 1999 - ieeexplore.ieee.org
Nowadays, information fusion constitutes a challenging research topic. The authors' study
proposes to achieve the fusion of several knowledge sources. This, in order to detect the …

Information fusion for rural land-use classification with high-resolution satellite imagery

W Sun, V Heidt, P Gong, G Xu - IEEE Transactions on …, 2003 - ieeexplore.ieee.org
We propose an information fusion method for the extraction of land-use information based
on both the panchromatic and multispectral Indian Remote Sensing Satellite 1C (IRS-1C) …