- Wordfast classic how to create and use a tm full#
- Wordfast classic how to create and use a tm license#
- Wordfast classic how to create and use a tm download#
This image is the equivalent of a false color infrared photograph. Reviewing Image Colors The color image displayed below can be used as a guide to classification. Click Load RGB to load the image into ENVI Classic. The band names are automatically entered in the Red, Green, and Blue fields.
Select Band 4, Band 3, and Band 2 sequentially from the list of bands at the top of the dialog by clicking on the band names. Red, Green, and Blue fields appear in the middle of the dialog. Click on the RGB Color radio button in the Available Bands List. The Available Bands List appears on your screen. From the ENVI Classic main menu bar, select File > Open Image File. Color composite images will be used as the first step in locating and identifying unique areas for use as training sets in classification. File Description can_tmr.img Cañon City, Colorado TM reflectance image can_tmr.hdr ENVI header for above can_km.img K-means classification can_km.hdr ENVI header for above can_iso.img ISODATA classification can_iso.hdr ENVI header for above classes.roi Regions of interest (ROI) for supervised classification can_pcls.img Parallelepiped classification can_pcls.hdr ENVI header for above can_bin.img Binary encoding result can_bin.hdr ENVI header for above can_sam.img SAM classification result can_sam.hdr ENVI header for above can_rul.img Rule image for SAM classification can_rul.hdr ENVI header for above can_sv.img Sieved image can_sv.hdr ENVI header for above can_clmp.img Clump of sieved image can_clmp.hdr ENVI header for above can_comb.img Combined classes image can_comb.hdr ENVI header for above can_ovr.img Classes overlain on gray scale image can_ovr.hdr ENVI header for above can_v1.evf Vector layer generated from class #1 can_v2.evf Vector layer generated from class #2 of 26ģ Examining a Landsat TM Color Image This portion of the exercise will familiarize you with the spectral characteristics of the Landsat TM data of Cañon City, Colorado, USA.
Wordfast classic how to create and use a tm download#
Files Used in this Tutorial Download data files from the Exelis website. Results of both unsupervised and supervised classifications are examined and post classification processing including clump, sieve, combine classes, and accuracy assessment are discussed. It can get pretty complicated though, and I would not suggest it for anyone other than an advanced user with a strong programming background.1 ENVI Classic Tutorial: Classification Methods Classification Methods 2 Files Used in this Tutorial 2 Examining a Landsat TM Color Image 3 Reviewing Image Colors 3 Using the Cursor Location/Value 4 Examining Spectral Plots 4 Exploring Unsupervised Classification Methods 6 Applying K-Means Classification 6 Applying ISODATA Classification 7 Exploring Supervised Classification Methods 9 Selecting Training Sets Using Regions of Interest (ROI) 9 Applying Parallelepiped Classification 9 Applying Maximum Likelihood Classification 10 Applying Minimum Distance Classification 10 Applying Mahalanobis Distance Classification 11 Exploring Spectral Classification Methods 12 Collecting Endmember Spectra 12 Applying Binary Encoding Classification 13 Exploring Rule Images 15 Post Classification Processing 17 Extracting Class Statistics 17 Generating a Confusion Matrix 18 Clumping and Sieving 19 Combining Classes 20 Overlaying Classes 20 Editing Class Colors 22 Working with Interactive Classification Overlays 23 Overlaying Vector Layers 24 Converting a Classification to a Vector 24 Adding Classification Keys Using Annotation 25 of 26Ģ Classification Methods This tutorial provides an introduction to classification procedures using Landsat TM data from Cañon City, Colorado. The fantasy grounds website wiki has an entire section set aside for developers. To paraphrase the old saying, nearly anything is possible given enough time and resources. This is extremely flexible because you can build practically any sort of game system you want to build. The work consists of new graphic work, laying out the user interface in XML and then writing LUA scripts that perform automation when certain actions are done.
Wordfast classic how to create and use a tm full#
To do a full ruleset which features lots of specific automation and graphics for the game system would typically require a firm understanding of programming logic and test strategies. The only downside is that you won't be able to save your work after playing around with it for a bit.
Wordfast classic how to create and use a tm license#
You can test that out fully with the demo license of Fantasy Grounds to see how it works for you. In the video, I create a character sheet for All Flesh Must be Eaten however, the same principals would apply to any type of character sheet. You can modify a fair amount for a brand new character sheet using just the CoreRPG ruleset with zero coding. It really depends on how much automation you want to have.