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imtest133

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Everything posted by imtest133

  1. Dear all I want to extract a raster values to a very heavy point shapefile (with 1.700.000 points!) in ArcMap. It takes very long but only uses 37% of my memory? How can I allow ArcMap to use more memory to save my time? http://s4.picofile.com/file/8286974650/photo_2017_02_19_20_36_46.jpg
  2. Thank you but Not Found The item does not exist. It may have been deleted
  3. Could you please tell me how to upload an image here? I can't find it!
  4. problem persist with ArcGIS 10.4.1. Drivers of my Intel and NVIDIA graphics are the latest version.
  5. All of my drivers are up to date!
  6. Hi all I recently renew my Laptop with a better one with windows 10 platform, but I have a problem with some software such as arcgis 10.2.2 In the software environment, icons are really small. when I change arcmap setting to big icons, the size of icons getting bigger than normal condition in the past! please help me. I like normal view of arcmap.
  7. this tool is for exporting images and vector files to google earth. i want to link envi and google earth lively.
  8. Dear All I want to use supervised image classification method in ENVI 5.3 and I want to link image in ENVI with google earth for accurate training data selection. I can't find this in ENVI. In Erdas Imagine this is really easy to link image with GE but in ENVI i can't find!
  9. yes, I tried an image from 1985 and second from 2000. both from landsat. in both images I have problems in urban area and barelands. Thanks
  10. Dear deepgis Thanks for your comment. you are right. I used reflectance data for calculating NDVI, NDWI and SAVI too and then combine them with 3 component of PCA of bands, as layer stack in Erdas imagine.
  11. Dear deepgis I used 3 PCA components of band, NDWI, NDVI, SAVI, 3 Tasseled Cap components all extracted from ETM+ band: 1,2,3,4,5,7 instead of raw bands. But i got only minor improvements in the results. Still in supervised and unsupervised barelands and urban area mixed together. Please help me
  12. Thanks for your comprehensive answer. I will try NDBI, NDVI, NDWI and such indices instead of raw bands of landsat in Suoervised and Unsupervised methods.
  13. Dear lurker I have tested various combinations but some of bareland recognized as urban area in both supervised and unsupervised methods. How many bands is enough for image classification? I used all 7 bands as layer stack.
  14. Thanks for useful information. I use landsat 7 because i need time series of images from 1985 to 2005. I tested Erdas imagine 2014 and Terrset for classification.
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