Transactions on Geoscience & Remote Sensing

About the Publication

Description

The internationally subscribed monthly journal, Transactions on Geoscience and Remote Sensing (TGARS), publishes advances in sensing instruments and techniques used for the acquisition of geoscientific information as well as techniques for processing, enhancing and interpreting information derived from remote sensing instruments. Transactions on GRS is part of the basic service received with GRS membership or GRSS affiliation.

Editor Information

plazaEditor: Prof. Antonio J. Plaza
Institution: University of Extremadura
Country: Spain
Contact: aplaza@unex.es
Bio: Antonio Plaza was born in Cáceres, Spain, in 1975. He received the M.S. and Ph.D. degrees in computer engineering from the University of Extremadura, Spain. He is currently an Associate Professor (with accreditation for Full Professor) with the Department of Technology of Computers and Communications, University of Extremadura, where he is the Head of the Hyperspectral Computing Laboratory (HyperComp). See Full Bio »

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Articles & Announcements

IEEE Transactions on Geoscience and Remote Sensing publication information

Provides a listing of current staff, committee members and society officers.

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Local Primitive Pattern for the Classification of SAR Images

This paper proposes a new method for the classification of synthetic aperture radar (SAR) images based on a novel feature vector. The method aims at combining the intensity information of pixels with spatial information and structural relationships. Un…

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A Change Detection Approach to Flood Mapping in Urban Areas Using TerraSAR-X

Very high resolution synthetic aperture radar (SAR) sensors represent an alternative to aerial photography for delineating floods in built-up environments where flood risk is highest. However, even with currently available SAR image resolutions of 3 m …

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Efficient Detection and Imaging of Moving Targets in SAR Images Based on Chirp Scaling

An innovative scheme is presented for moving target detection and high-resolution focusing that exploits a bank of chirp scaling algorithms (CSA), each one matched to a different along track target velocity component. The new scheme is thought for mult…

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Out-of-Band Correction for Multispectral Remote Sensing

A general method for correcting out-of-band (OOB) effects to improve radiometric accuracy in multispectral sensors is proposed using an OOB correction transform (OBCT) developed according to linear systems theory. The correction for a particular channe…

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Hyperspectral Image Classification Based on Structured Sparse Logistic Regression and Three-Dimensional Wavelet Texture Features

Hyperspectral remote sensing imagery contains rich information on spectral and spatial distributions of distinct surface materials. Owing to its numerous and continuous spectral bands, hyperspectral data enable more accurate and reliable material class…

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Table of contents

Presents the table of contents for this issue of the periodical.

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Growth-Competition-Based Stem Diameter and Volume Modeling for Tree-Level Forest Inventory Using Airborne LiDAR Data

An individual tree within a forest stand will have its height and diameter growth restricted by the influence of neighboring trees. This is because trees in close proximity compete for resources and space to enable growth. In this paper, the position o…

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