[GRASS-SVN] r55368 - grass-promo/grassposter/2013_EGU_G7

svn_grass at osgeo.org svn_grass at osgeo.org
Wed Mar 13 12:05:23 PDT 2013 

Author: neteler
Date: 2013-03-13 12:05:23 -0700 (Wed, 13 Mar 2013)
New Revision: 55368

Modified:
   grass-promo/grassposter/2013_EGU_G7/poster.tex
Log:
+Intro; +i.spec.unmix

Modified: grass-promo/grassposter/2013_EGU_G7/poster.tex
===================================================================
--- grass-promo/grassposter/2013_EGU_G7/poster.tex	2013-03-13 18:04:30 UTC (rev 55367)
+++ grass-promo/grassposter/2013_EGU_G7/poster.tex	2013-03-13 19:05:23 UTC (rev 55368)
@@ -42,25 +42,28 @@
 
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 \blocknode{Abstract}{
-\small GRASS GIS 7 started its development by the branching out of GRASS GIS 6.x from the main trunk of code (rev 31142).
+\small GRASS GIS, commonly referred to as GRASS (Geographic Resources Analysis Support System), is a free Geographic Information System (GIS) software used for geospatial data management and analysis, image processing, graphics/maps production, spatial modeling, and visualization [1].
+
+GRASS GIS 7 started its development by the branching out of GRASS GIS 6.x from the main trunk of code (rev 31142).
 This was done on 27th of April 2008, and a large amount of changes took place since that date, more 
 are still underway.
 \begin{itemize}
- \item Display library in GRASS 7 (planning \& ongoing)
- \item Raster library in GRASS 7 (planning \& ongoing)
- \item Vector library in GRASS 7 (planning \& ongoing)
- \item G3d (volume) library and modules in GRASS 7 (finished)
+% commented, not that important
+% \item Display library in GRASS 7 (planning \& ongoing)
+ \item Raster library in GRASS 7 (ongoing)
+ \item Vector library in GRASS 7 (ongoing)
+ \item Raster3D (volume) library and modules in GRASS 7 (finished)
  \item Temporal extension for GRASS 7 (finished) 
 \end{itemize}
 
-GRASS GIS capacity in remote sensing has also been under great changes and additions for version 7.
+GRASS GIS' capacity in remote sensing has also been greatly improved with additions for version 7.
 }
 
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 \blocknode{Linear features extraction}{
 \small
 An edge is considered as a change in image digital values.
-Edge detection \& extraction in i.canny is done by a Canny edge detector [1]. 
+Edge detection \& extraction in i.canny is done by a Canny edge detector [2]. 
 The Canny edge detector encompasses Gaussian smoothing, 
 gradient computation \& non-maximum suppression. \newline
 This creates thin edges and thresholding with hysteresis which
@@ -75,13 +78,13 @@
  \hspace{10mm}
  \includegraphics[width=0.48\textwidth]{./images/imagery_spot_edge_1}
  \newline
- Figure 1: Canny edge detector on a road network [1]
+ Figure 1: Canny edge detector on a road network [2]
 \end{center}
 }
 
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 \blocknode{Object recognition}{
-\small The module i.segment is a region growing image segmentation algorithm [2].
+\small The module i.segment is a region growing image segmentation algorithm [3].
 It produces a raster map with segments (objects), and optionally other maps with segments statistics 
 (mean/variance/range/etc.). 
 \begin{center}
@@ -122,11 +125,11 @@
 % \end{equation}
 
 \begin{center}
- \includegraphics[width=0.38\textwidth]{./images/slet2005}
+ \includegraphics[width=0.32\textwidth]{./images/slet2005}
  \hspace{20mm}
- \includegraphics[width=0.38\textwidth]{./images/slet2010}
+ \includegraphics[width=0.32\textwidth]{./images/slet2010}
  \newline
- Figure 3: Actual evapotranspiration (i.eb.*) for water monitoring and management [3]
+ Figure 3: Actual evapotranspiration (i.eb.*) for water monitoring and management [4]
 \end{center}
 }
 
@@ -136,7 +139,7 @@
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 \blocknode{Interactive supervised classification}{
 \small 
-This interactive tool [4], aims at greatly simplifying quantitative surpervised class training areas creation.
+This interactive tool [5], aims at greatly simplifying quantitative surpervised class training areas creation.
 It calculates the spectral signatures based on the cells within the specified areas. 
 The resulting signature file can be used by a maximum likelihood classification module (i.maxlik). 
 During the process the user is shown a histogram of the area cell values for each image band, 
@@ -162,13 +165,13 @@
 Author Markus Metz tested r.in.lidar with a 705Gb .las file. \newline
 On-farm water storage study with lidar data in NSW (Australia) permitted to develop the 
 first full remote sensing monitoring methodology of water availability by a combination of 
-lidar-based bathymetric survey and multi-source remote sensing water area regular survey [5].\newline
+lidar-based bathymetric survey and multi-source remote sensing water area regular survey [6].\newline
 \begin{center}
  \includegraphics[width=0.4\textwidth]{./images/ofs1}
  \hspace{10mm}
  \includegraphics[width=0.275\textwidth]{./images/ofs2}
  \newline
- Figure 5: On-Farm-Water-Storage Lidar survey and Depth-Volume-Area surveying [5]
+ Figure 5: On-Farm-Water-Storage Lidar survey and Depth-Volume-Area surveying [6]
 \end{center}
 }
 
@@ -202,13 +205,20 @@
 \vspace{15pt}
 {\bf Temporal cleaning and smoothing}
 
-A dedicated time-series environment (modules starting with t.*) is being developed for GRASS 7, 
-the following functions initially developed for NDVI temporal interpolation and maximization might 
-find their way in the t.* modules.
+%%% Since being the only comment, taken out to gain vertical space:
+% A dedicated time-series environment (modules starting with t.*) is being developed for GRASS 7, 
+% the following functions initially developed for NDVI temporal interpolation and maximization might 
+% find their way in the t.* modules.
 \begin{itemize}
  \item {\bf r.hants} Fourier temporal smoothing
  \item {\bf i.lmf} Local maximum fitting of temporal data
 \end{itemize}
+\vspace{15pt}
+{\bf Multi- and hyperspectral data analysis}
+
+\begin{itemize}
+ \item {\bf i.spec.unmix} Spectral Unmixing
+\end{itemize}
 }
 
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
@@ -218,16 +228,19 @@
 \coordinate (funkcionalitaeast) at (box.east);
 \coordinate (screenshot) at (box.north west);
 % \getcurrentrow{box}
-\blocknodew[($(funkcionalita)+(25,-1)$)]{25}{References}{
+\blocknodew[($(funkcionalita)+(20,-1)$)]{35}{References}{
 \scriptsize
 \begin{center}
-\begin{tabular}{rp{0.8\textwidth}}
-[1] & Petráš, 2012. M.Sc. Thesis, OSGeoREL, FCE CTU, Prague.\\{}
-[2] & Momsen \& Metz, 2012. i.segment module. Geographic Resources
+\begin{tabular}{rp{0.9\textwidth}}
+[1] & Neteler \& Bowman \&  Landa \& Metz, 2012: GRASS GIS: a multi-purpose
+Open Source GIS. Environ Model Soft, 31:124-130\\{}
+% , DOI: 10.1016/j.envsoft.2011.11.014.\\{}
+[2] & Petráš, 2012. M.Sc. Thesis, OSGeoREL, FCE CTU, Prague.\\{}
+[3] & Momsen \& Metz, 2012. i.segment module. Geographic Resources
 Analysis Support System (GRASS GIS) Software, Version 7.\\{}
-[3] & Chemin, 2012. Chapter 19, DOI: 10.5772/23571 ({\url {http://bit.ly/16qJOep}})\\{}
-[4] & Kratochvílová \& Petráš, 2013. OSGeoREL, FCE CTU, Prague.\\{}
-[5] & Chemin \& Rabbani, 2011. International Journal of Geoinformatics,  7(3):1-6pp.
+[4] & Chemin, 2012. Chapter 19, DOI: 10.5772/23571 ({\url {http://bit.ly/16qJOep}})\\{}
+[5] & Kratochvílová \& Petráš, 2013. OSGeoREL, FCE CTU, Prague.\\{}
+[6] & Chemin \& Rabbani, 2011. International Journal of Geoinformatics,  7(3):1-6pp.
 \end{tabular}
 \end{center}
 \smallskip

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