The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus

Volume XL-7, 2014 | ISPRS Technical Commission VII Symposium (Volume XL-7)

29 September–2 October 2014, Istanbul, Turkey
Editor(s): F. Sunar, O. Altan, and M. Taberner

Volume XL-7, 2014 | ISPRS Technical Commission VII Symposium (Volume XL-7)

29 September–2 October 2014, Istanbul, Turkey
Editor(s): F. Sunar, O. Altan, and M. Taberner
19 Sep 2014
Introduction and preliminary results of a calibration for full-frame hyperspectral cameras to monitor agricultural crops with UAVs
H. Aasen, J. Bendig, A. Bolten, S. Bennertz, M. Willkomm, and G. Bareth
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 1–8, https://doi.org/10.5194/isprsarchives-XL-7-1-2014,https://doi.org/10.5194/isprsarchives-XL-7-1-2014, 2014
19 Sep 2014
Spatio-temporal Urban Change Analysis and the Ecological Threats Concerning The Third Bridge in Istanbul City
A. Akin, S. Aliffi, and F. Sunar
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 9–14, https://doi.org/10.5194/isprsarchives-XL-7-9-2014,https://doi.org/10.5194/isprsarchives-XL-7-9-2014, 2014
19 Sep 2014
A New Unsupervised Change Detection Approach Based On DWT Image Fusion And Backtracking Search Optimization Algorithm For Optical Remote Sensing Data
U. H. Atasever, P. Civicioglu, E. Besdok, and C. Ozkan
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 15–18, https://doi.org/10.5194/isprsarchives-XL-7-15-2014,https://doi.org/10.5194/isprsarchives-XL-7-15-2014, 2014
19 Sep 2014
Analysis of deformation patterns through advanced DINSAR techniques in Istanbul megacity
F. Balik Sanli, F. Calò, S. Abdikan, A. Pepe, and T. Gorum
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 19–21, https://doi.org/10.5194/isprsarchives-XL-7-19-2014,https://doi.org/10.5194/isprsarchives-XL-7-19-2014, 2014
19 Sep 2014
Automatic registration of multi-source medium resolution satellite data
L. Barazzetti, M. Gianinetto, and M. Scaioni
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 23–28, https://doi.org/10.5194/isprsarchives-XL-7-23-2014,https://doi.org/10.5194/isprsarchives-XL-7-23-2014, 2014
19 Sep 2014
Ordinal classification for efficient plant stress prediction in hyperspectral data
J. Behmann, P. Schmitter, J. Steinrücken, and L. Plümer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 29–36, https://doi.org/10.5194/isprsarchives-XL-7-29-2014,https://doi.org/10.5194/isprsarchives-XL-7-29-2014, 2014
19 Sep 2014
New SAR Interferogram denoising method via sparse recovery based on L0 norm
W. Ben Abdallah and R. Abdelfattah
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 37–41, https://doi.org/10.5194/isprsarchives-XL-7-37-2014,https://doi.org/10.5194/isprsarchives-XL-7-37-2014, 2014
19 Sep 2014
Evaluating the potential of consumer-grade smart cameras for low-cost stereo-photogrammetric Crop-Surface Monitoring
S. Brocks and G. Bareth
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 43–49, https://doi.org/10.5194/isprsarchives-XL-7-43-2014,https://doi.org/10.5194/isprsarchives-XL-7-43-2014, 2014
19 Sep 2014
Practical example for use of the supervised vicarious calibration (SVC) method on multisource hyperspectral imagery data – ValCalHyp airborne hyperspectral campaign under the EUFAR framework
A. Brook and E. Ben Dor
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 51–53, https://doi.org/10.5194/isprsarchives-XL-7-51-2014,https://doi.org/10.5194/isprsarchives-XL-7-51-2014, 2014
19 Sep 2014
Centimeter range measurement using amplitude data of TerraSAR-X imagery
P. Capaldo, F. Fratarcangeli, A. Nascetti, A. Mazzoni, M. Porfiri, and M. Crespi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 55–61, https://doi.org/10.5194/isprsarchives-XL-7-55-2014,https://doi.org/10.5194/isprsarchives-XL-7-55-2014, 2014
19 Sep 2014
Automatic Training Sample Selection for a Multi-Evidence Based Crop Classification Approach
M. Chellasamy, P. A. Ty Ferre, and M. Humlekrog Greve
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 63–69, https://doi.org/10.5194/isprsarchives-XL-7-63-2014,https://doi.org/10.5194/isprsarchives-XL-7-63-2014, 2014
19 Sep 2014
Performance Comparison Of Evolutionary Algorithms For Image Clustering
P. Civicioglu, U. H. Atasever, C. Ozkan, E. Besdok, A. E. Karkinli, and A. Kesikoglu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 71–74, https://doi.org/10.5194/isprsarchives-XL-7-71-2014,https://doi.org/10.5194/isprsarchives-XL-7-71-2014, 2014
19 Sep 2014
Exploitation of the full potential of Persistent Scatterer Interferometry data
M. Crosetto, N. Devanthéry, M. Cuevas-González, O. Monserrat, and B. Crippa
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 75–78, https://doi.org/10.5194/isprsarchives-XL-7-75-2014,https://doi.org/10.5194/isprsarchives-XL-7-75-2014, 2014
19 Sep 2014
Raster Vs. Point Cloud LiDAR Data Classification
N. El-Ashmawy and A. Shaker
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 79–83, https://doi.org/10.5194/isprsarchives-XL-7-79-2014,https://doi.org/10.5194/isprsarchives-XL-7-79-2014, 2014
19 Sep 2014
The Use of Remote Sensing Technique to Predict Gross Domestic Product (GDP): An Analysis of Built-Up Index and GDP in Nine Major Cities in Canada
K. Faisal and A. Shaker
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 85–92, https://doi.org/10.5194/isprsarchives-XL-7-85-2014,https://doi.org/10.5194/isprsarchives-XL-7-85-2014, 2014
19 Sep 2014
Automatic surface classification for retrieving areas which are highly endangered by extreme rain
P. Fischer, T. Krauß, and T. Peters
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 93–100, https://doi.org/10.5194/isprsarchives-XL-7-93-2014,https://doi.org/10.5194/isprsarchives-XL-7-93-2014, 2014
19 Sep 2014
Fusion of high resolution remote sensing images and terrestrial laser scanning for improved biomass estimation of maize
C. Hütt, H. Schiedung, N. Tilly, and G. Bareth
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 101–108, https://doi.org/10.5194/isprsarchives-XL-7-101-2014,https://doi.org/10.5194/isprsarchives-XL-7-101-2014, 2014
19 Sep 2014
Hyperspectral lidar in non-destructive 4D monitoring of climate variables
S. Kaasalainen, T. Hakala, O. Nevalainen, E. Puttonen, and K. Anttila
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 109–111, https://doi.org/10.5194/isprsarchives-XL-7-109-2014,https://doi.org/10.5194/isprsarchives-XL-7-109-2014, 2014
19 Sep 2014
Lidar Processing for Defining Sinkhole Characteristics under Dense Forest Cover: A Case Study in the Dinaric Mountains
M. Kobal, I. Bertoncelj, F Pirotti, and L. Kutnar
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 113–118, https://doi.org/10.5194/isprsarchives-XL-7-113-2014,https://doi.org/10.5194/isprsarchives-XL-7-113-2014, 2014
19 Sep 2014
The backscattering characteristics of thermokarst lake ice in the qinghai-tibet plateau from SAR
Z. Li, B. Tian, and P. Tang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 119–126, https://doi.org/10.5194/isprsarchives-XL-7-119-2014,https://doi.org/10.5194/isprsarchives-XL-7-119-2014, 2014
19 Sep 2014
Object-Based Classification of Multi-temporal Images for Agricultural Crop Mapping in Karacabey Plain, Turkey
A. Ozdarici-Ok and Z. Akyurek
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 127–132, https://doi.org/10.5194/isprsarchives-XL-7-127-2014,https://doi.org/10.5194/isprsarchives-XL-7-127-2014, 2014
19 Sep 2014
IASON – Fostering sustainability and uptake of research results through Networking activities in Black Sea & Mediterranean areas
P. Patias
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 133–139, https://doi.org/10.5194/isprsarchives-XL-7-133-2014,https://doi.org/10.5194/isprsarchives-XL-7-133-2014, 2014
19 Sep 2014
A non-parameterized method for co-registration of panchromatic and multispectral images
J. Peng
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 141–146, https://doi.org/10.5194/isprsarchives-XL-7-141-2014,https://doi.org/10.5194/isprsarchives-XL-7-141-2014, 2014
19 Sep 2014
NDVI from Landsat 8 Vegetation Indices to Study Movement Dynamics of Capra Ibex in Mountain Areas
F. Pirotti, M. A. Parraga, E. Sturaro, M. Dubbini, A. Masiero, and M. Ramanzin
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 147–153, https://doi.org/10.5194/isprsarchives-XL-7-147-2014,https://doi.org/10.5194/isprsarchives-XL-7-147-2014, 2014
19 Sep 2014
Influence of temporal baseline on the vertical absolute accuracies of TSX HS interferometric DSMs: Case Study on Berlin
U. G. Sefercik and U. Soergel
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 155–160, https://doi.org/10.5194/isprsarchives-XL-7-155-2014,https://doi.org/10.5194/isprsarchives-XL-7-155-2014, 2014
19 Sep 2014
Flood Mapping Using InSAR Coherence Map
S. Selmi, W. Ben Abdallah, and R. Abdelfatteh
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 161–164, https://doi.org/10.5194/isprsarchives-XL-7-161-2014,https://doi.org/10.5194/isprsarchives-XL-7-161-2014, 2014
19 Sep 2014
Mapping Biomass Availability to Decrease the Dependency on Fossil Fuels
T. Steensen, S. Müller, M. Jandewerth, and O. Büscher
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 165–171, https://doi.org/10.5194/isprsarchives-XL-7-165-2014,https://doi.org/10.5194/isprsarchives-XL-7-165-2014, 2014
19 Sep 2014
A Novel 3D Building Damage Detection Method Using Multiple Overlapping UAV Images
H. Sui, J. Tu, Z. Song, G. Chen, and Q. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 173–179, https://doi.org/10.5194/isprsarchives-XL-7-173-2014,https://doi.org/10.5194/isprsarchives-XL-7-173-2014, 2014
19 Sep 2014
Terrestrial laser scanning for plant height measurement and biomass estimation of maize
N. Tilly, D. Hoffmeister, H. Schiedung, C. Hütt, J. Brands, and G. Bareth
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 181–187, https://doi.org/10.5194/isprsarchives-XL-7-181-2014,https://doi.org/10.5194/isprsarchives-XL-7-181-2014, 2014
19 Sep 2014
GeoEtrim, SharpQ and Epix: Trio of Tools for Geospatial Image Analysis
H. Topan, M. Özendi, A. Cam, and M. Oruç
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 189–194, https://doi.org/10.5194/isprsarchives-XL-7-189-2014,https://doi.org/10.5194/isprsarchives-XL-7-189-2014, 2014
19 Sep 2014
Crop Type Classification Using Vegetation Indices of RapidEye Imagery
M. Ustuner, F. B. Sanli, S. Abdikan, M. T. Esetlili, and Y. Kurucu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 195–198, https://doi.org/10.5194/isprsarchives-XL-7-195-2014,https://doi.org/10.5194/isprsarchives-XL-7-195-2014, 2014
19 Sep 2014
Investigating Performance Of Airborne Lidar Data Filtering With Triangular Irregular Network (TIN) Algorithm
M. Uysal and N. Polat
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 199–202, https://doi.org/10.5194/isprsarchives-XL-7-199-2014,https://doi.org/10.5194/isprsarchives-XL-7-199-2014, 2014
19 Sep 2014
Analysis on light quantity and quality based on diverse cloud conditions
M. Yamashita and M. Yoshimura
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 203–208, https://doi.org/10.5194/isprsarchives-XL-7-203-2014,https://doi.org/10.5194/isprsarchives-XL-7-203-2014, 2014
19 Sep 2014
Rapid Disaster Analysis based on Remote Sensing: A Case Study about the Tohoku Tsunami Disaster 2011
C.H. Yang, U. Soergel, Ch. Lanaras, E. Baltsavias, K. Cho, F. Remondino, and H. Wakabayashi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 209–216, https://doi.org/10.5194/isprsarchives-XL-7-209-2014,https://doi.org/10.5194/isprsarchives-XL-7-209-2014, 2014
19 Sep 2014
A Consideration for the Light Environmental Modeling under Tropical Rainforest Canopies
M. Yoshimura and M. Yamashita
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 217–220, https://doi.org/10.5194/isprsarchives-XL-7-217-2014,https://doi.org/10.5194/isprsarchives-XL-7-217-2014, 2014
19 Sep 2014
Change Detection Of Seafloor Topography By Modeling Multitemporal Multibeam Echosounder Measurements
E. Zirek and F. Sunar
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 221–227, https://doi.org/10.5194/isprsarchives-XL-7-221-2014,https://doi.org/10.5194/isprsarchives-XL-7-221-2014, 2014
CC BY 4.0