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Found 4 results

  1. halo teman-teman gisarea indonesia kebetulan saya sedang mengolah data ALOS PRISM untuk tutupan lahan kota semarang. disini saya menggunakan software Erdas Imagine 2014, saya agak menemui kesulitan dalam prosesnya & semoga diantara teman2 disini bisa membantu memberikan masukan. "apakah tiap kita membuat signature untuk satu nama kelas harus dengan satu area of interest (AOI)? apakah bisa membuat satu kelas dengan banyak AOI? karena dari pengolahan data saya, tiap satu nama kelas harus satu AOI dan hasil supervisednya berantakan." terimakasih
  2. I'm trying to do a fuzzy land cover classification using maximum likelihood classification. I need to get the probability of each pixel to fall in a particular class. Some equations have been formed based on gaussian distribution to calculate the fuzzy membership value corresponding to each pixel. To calculate this value each pixels are to be considered individually and substituted in the following equation: D = (X-M)^T * (cov)^-1 * (X-M) where X is a 4*1 matrix representing the DN for a particular pixel in 4 bands. I'm trying to do this using erdas imagine model maker, but failed to call each pixel separately. How can I do this ? Can I use Spatial modeler language to modify the model ? How can we initialize a pixel in "while loop" of spatial modeler language ?
  3. Intergraph just released the newest version of world-famous remote sensing and image analysis package Erdas Imagine. One of the most exciting update is the package now has a totally separate release for 64x pcs, so no memory bottleneck ! Let's take a look whats more inside, new sensor (including Landsat 8, SPOT6) and datum support, LUT Stretch and Filter Galleries with real-time preview, Spatial Modeler enhancements, with Image Segmentation operator, Point cloud and LiDAR operators and Generic Command-line operator – Run ERDAS IMAGINE and 3rd party executables IMAGINE Developer’s Toolkit - Programmers can now develop their own operators using Spatial Modeler SDK Converted select ERDAS ER Mapper wizards into ERDAS IMAGINE Spatial Models New radiometric capability, ie Autonomous Atmospheric Image Correction (AAIC) Resource intensive applications now leverage a 64 bit environment for increased memory access and processing speed. Some key applications that will benefit from a 64-bit Operating System areECW and JP2 compression – Compress larger images faster ECWP – Faster streaming Image segmentation – Process larger images with fewer tiling artifacts MosaicPro – Faster processing of large projects Ortho-resampling – Up to 40% faster when using RPC models Spatial Modeler – More memory available for complex processing, faster execution via multi-threading IMAGINE Easytrace and Vector are now standard part of the software more add-on consolidated previously known as LPS see the product portfolio, http://geospatial.intergraph.com/Libraries/Tech_Docs/Geospatial_Portfolio_2014_What_s_New.sflb.ashx Download trial http://download.intergraph.com/?ProductFamily=326677bc-d93b-6e30-89b7-ff00003c6ea8
  4. At last Integraph announced the the latest features of their most popular image analysis packages - Erdas and Geomedia. At the end of this year we expect the new release of their software, the 2013 release. According to http://field-guide.blogspot.com, the features could be , The Model Maker transition into Spatial Modeler Pull architecture for real-time processing to viewer Faster file creation Write real-time to 2D Viewer and create a file faster than Model Maker can make a file [*]Pull architecture based on ERDAS ER Mapper concepts [*]Python in Spatial Modeler Use custom designed applications in a Spatial Model Access other licensed software products in a Spatial Model [*]GeoMedia vector and raster processing objects used in Spatial Modeler [*]High performance asynchronous raster data engine Faster data access in 2D Viewer and Spatial Modeler Will be expanded in 2014 release [*]Use of the new v5 ERDAS ECW/JP2 SDK Used in ERDAS IMAGINE, LPS and ERDAS ER Mapper Multi-threaded encoding Introduce ECW v3 file format (ECW v2 has been around since 1999) ECW v3 supports up to unsigned 16-bit data ECW v3 uses GeoTIFF standard for coordinate reference system definition Expanded ECW metadata [*]Faster encoding of ECW [*]Faster decoding of ECW [*]Faster ECW v2 and v3 opacity layer calculation [*]Reduced need for J2I files with JP2 files [*]More robust support for non-standard JP2 data [*]More robust support for ill-defined JP2 profiles [*]Support reading MrSID MG4 Raster [*]Support reading of MrSID MG4 LiDAR [*]Point cloud (LiDAR) support Viewing Automatic classification Manual classification Data preparation Support read and write of LAS [*]New LPS user interface [*]Improved Terrain Prep Tool [*]Improved MosaicPro (we never stop making MosaicPro better) [*]New swipe tools (transitions ribbon) [*]New measurement ribbon for height from shadow and height from building lean and ortho measurements [*]Real-time spectral indices (using Spatial Modeler technology) Vegetation Snow / Ice Minerals Water [*]New unsupervised classification tools [*]Faster unsupervised classification tools [*]Use of SAM and SCM in supervised classification [*]New image segmentation algorithm in IMAGINE Objective [*]Numerous interface improvements to make ERDAS IMAGINE and LPS more intuitive to expert and novice alike and many more! See the webinar "What's New in ERDAS IMAGINE 2013?" defining features. http://geospatial.intergraph.com/archive/webinars/imagine_2013_webinar.wmv More http://www.intergraph.com/assets/pressreleases/2012/10-23-2012b.aspx
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