PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
November 2014
1003
PHOTOGRAMME TR I C ENG I NE ER I NG & REMOT E SENS I NG
The official journal for imaging and geospatial information science and technology
November 2014 Volume 80 Number 11
H I GHL I GHT ART I C L E
Narcisa G. Pricope, Michael W. Binford,
and
John D. All
PROF ESS I ONAL I NS I GHT
PE ER - REV I EWED ART I C L ES
Kaleel Al-Durgham
and
Ayman Habib
An approach for the automatic registration of terrestrial laser scans using linear
features. The conceptual basis of the proposed matching strategy is establishing
hypotheses about potential minimal matches and then quantifying the agreement
between the scans using the estimated transformation parameters.
Zhizhong Kang, Fengman Jia,
and
Liqiang Zhang
A robust image-matching method based on the optimized Bayes SAmpling Consensus
(BaySAC) that determines the prior probabilities of pseudo-correspondences using a
model-free strategy and updates the inlier probability of a correspondence based on a
memorable form of Bayes’ Theorem.
Guo Zhang, Hongbo Pan, Deren Li, Xinming Tang,
and
Xiaoyong Zhu
A method for the block adjustment of high-resolution satellite imagery using rational
polynomial coefficients with virtual strip scenes.
Mostafa Kabolizade, Hamid Ebadi,
and
Mehdi Mokhtarzade
The energy function of active contour model has been calculated using a fuzzy inference
system.
Jantien Stoter, George Vosselman, Christian Dahmen, Sander Oude
Elberink,
and
Hugo Ledoux
The specifications of a countrywide 3D data set for the Netherlands that extend and
refine the OGC 3D standard “CityGML” as well as the best practices to generate and
validate 3D data accordingly.
APPLICATIONS
PAPER
COLUMNS
ANNOUNCEMENTS
DEPARTMENTS
This image is a portion of the first Landsat 8 scene
acquired May 12, 2013 (Path 107, Rows 70-71) in Western
Australia. Geoscience Australia, a Landsat International
Cooperator and a Landsat Science Team Member,
produced this enhanced image. Water and land were
masked, separately enhanced, and then reassembled.
The water patterns are the result of an RGB display of the
Landsat 8 red, blue, and ultra-blue bands (bands 4, 2, 1)
and the land is shown using SWIR, NIR, and green (bands
6, 5, 3). The resulting image displays impressive sediment
and nutrient patterns in the tropical estuary area, and the
complex patterns and conditions in the vegetated areas.
Sensor: L8 OLI
Acquisition Date: May 12, 2013
Path/Row: 107/70-71
Lat/Long: -14.870/128.350
Date Posted: 07/17/2013
This Enhanced Landsat 8 Image can be viewed at
. The cover image was rotated 90
degrees but appears in its correct orientation above.
