文件列表:

LICENSE (18025, 2018-03-01)
figures (0, 2018-03-01)
figures\abund-nfindr-1.png (223393, 2018-03-01)
figures\endmmbrs-nfindr.png (73457, 2018-03-01)
figures\sampleSlice.png (170893, 2018-03-01)
figures\targets_spectra.png (170084, 2018-03-01)
figures\truecolor.png (366451, 2018-03-01)
functions (0, 2018-03-01)
functions\fnnls.m (3806, 2018-03-01)
functions\hyperAce.m (1077, 2018-03-01)
functions\hyperAmsd.m (887, 2018-03-01)
functions\hyperAtgp.m (1197, 2018-03-01)
functions\hyperCem.m (1117, 2018-03-01)
functions\hyperConvert2Colormap.m (856, 2018-03-01)
functions\hyperConvert2d.m (521, 2018-03-01)
functions\hyperConvert3d.m (510, 2018-03-01)
functions\hyperConvexHullRemoval.m (1225, 2018-03-01)
functions\hyperCorr.m (316, 2018-03-01)
functions\hyperCov.m (379, 2018-03-01)
functions\hyperDemo.m (4523, 2018-03-01)
functions\hyperDemo_ASD_reader.m (1401, 2018-03-01)
functions\hyperDemo_RIT_data.m (6830, 2018-03-01)
functions\hyperDemo_detectors.m (3653, 2018-03-01)
functions\hyperDemo_mams_RIT_data.m (3143, 2018-03-01)
functions\hyperDestreak.m (964, 2018-03-01)
functions\hyperFcls.m (2057, 2018-03-01)
functions\hyperFclsMatlab.m (978, 2018-03-01)
functions\hyperFileFind.m (1215, 2018-03-01)
functions\hyperGetEnviSignature.m (718, 2018-03-01)
functions\hyperGetHymapWavelengthsNm.m (2036, 2018-03-01)
functions\hyperGlrt.m (802, 2018-03-01)
functions\hyperHfcVd.m (1815, 2018-03-01)
functions\hyperHud.m (1765, 2018-03-01)
functions\hyperIcaComponentScores.m (923, 2018-03-01)
functions\hyperIcaEea.m (1904, 2018-03-01)
functions\hyperImagesc.m (635, 2018-03-01)
... ...

### Welcome to my Project ### For better viewing, visit Originally created by [Isaac Gerg](http://www.gergltd.com/home/) Under GNU General Public License version 2.0 (GPLv2). [Visit SourceForge](http://sourceforge.net/apps/mediawiki/matlabhyperspec/index.php?title=Main_Page) **Dependencies** FastICA ([from my Github repo](https://github.com/davidkun/FastICA) or [from Aalto University](http://research.ics.aalto.fi/ica/fastica/code/dlcode.shtml)) ## Setup ## In the terminal type: cd ~/path-to-directory git clone https://github.com/davidkun/HyperSpectralToolbox.git git clone https://github.com/davidkun/FastICA.git Open Matlab. The default directory should contain a file `startup.m`. If not, create it: % in Matlab command window uPath = userpath; cd(uPath(1:end-1)); % removes trailing colon edit startup.m % may ask if you'd like to create it; click Yes Add the following code to it (make sure to modify `path-to-directory` so it matches the actual path): addtopath('~/path-to-directory/FastICA', ... '~/path-to-directory/HyperSpectralToolbox/functions', ... '~/path-to-directory/HyperSpectralToolbox/newFunctions'); You're ready to go now! Check out the demo files `hyperDemo.m` in `functions/` and `hyperDemo2.m` in `newFunctions/` to learn how to use the toolbox, or see the examples further down this page. *** [Back to top](https://github.com/davidkun/HyperSpectralToolbox#welcome-to-my-project) *** ## Description ## The open source Matlab Hyperspectral Toolbox is a Matlab toolbox containing various hyperspectral exploitation algorithms. The toolbox is meant to be a concise repository of current state-of-the-art exploitation algorithms for learning and research purposes. The toolbox includes functions for: **Target detection** -Constrained Energy Minimization (CEM) -Orthogonal Subspace Projection (OSP) -Generalized Likelihood Ratio Test (GLRT) -Adaptive Cosine/Coherent Estimator (ACE) -Adaptive Matched Subspace Detector (AMSD) **Endmember Finders** -Automatic Target Generation Procedure (ATGP) -Independent component analysis - endmember extraction algorithm (ICA-EEA) **Material abundance map (MAM) generation** **Spectral Comparison** -Spectral angle mapper (SAM) -Spectral information divergence (SID) -Normalize cross correlation **Anomaly Detectors** -Reed-Xiaoli Detector (RX) **Least Square Solvers** (for abundance map estimation) -Fully-constrained least squares (FCLS) -Non negative least squares (NNLS) **Material Count Estimation** -HFC virtual dimensionality (VD) for material count estimate **Automated processing** **Change detection** **Visualization** **Reading / writing files** (.rfl, .***, ect) *** [Back to top](https://github.com/davidkun/HyperSpectralToolbox#welcome-to-my-project) *** ## Examples ## Download the Cuprite, Nevada hyperspectral image (HSI) from [here](http://aviris.jpl.nasa.gov/data/free_data.html). This will contain reflectance data and a .spc file with the spectral bands. The following samples of code are from `hyperDemo2.m`. Show a 'slice' of the HSI: slice = hyperReadAvirisRfl(rflFile, [1 512], [1 614], [bndnum bndnum]); figure; imagesc(slice); axis image; colormap(gray);  _Figure 1: 1997 AVIRIS flight over Cuprite, NV_ View an enhanced truecolor composite of the HSI: tColor = hyperTruecolor(rflFile, 512, 614, 224, rgbBands, 'stretchlim'); figure; imagesc(tColor); axis image  _Figure 2: Truecolor composite from RGB bands_ Plot the spectral signatures of 20 random pixels in order to determine which bands are greatly affected by water absorption and/or have a low signal-to-noise ratio (SNR):  _Figure 3: Pre-processing: removal of poor spectral bands from original HSI_ Using the resampled HSI cube, perform an endmember extraction algorithm, for example, the N-FINDR algorithm: Unfindr = hyperNfindr(M2d, q); figure; plot(lambdasNm, Unfindr, '.'); grid on;  _Figure 4: Endmember signatures estimated by PPI_ Generate abundance maps using the non-negative constrained least squares method for each extracted endmember signature, for example: abundanceMaps = hyperNnls(M2d, Uppi); abundanceMaps = hyperConvert3d(abundanceMaps, h, w, q); figure; imagesc(abundanceMaps(:,:,1)); colorbar; axis image;  _Figure 5: Abundance map from first N-FINDR-recovered endmember_ These are just a few features of the Hyperspectral Toolbox. *** [Back to top](https://github.com/davidkun/HyperSpectralToolbox#welcome-to-my-project) *** ### Algorithms to be added (requested by Dr. Gerg): ### (Joint) Affine Matched filter Generalization of matched filter which includes signature statistics RAF-SAM, an improvement to SAM from: Improving the Classification Precision of Spectral Angle Mapper ELM for radiance to reflectance conversion - http://www.cis.rit.edu/files/197_SPIE_2005_Grimm.pdf Covariance matrix inversion methods (e.g. Dominant Mode Rejection) Quadratic Detector SMACC - http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=844250 ~~AMEE - http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1046852~~ ~~N-FINDR - http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=994814~~ Fast PPI - http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1576691 ~~Joshua Broaderwater's hybrid detectors (HUD, etc)~~ Variations on ACE - e.g. adaptive covariance estimated ACE, etc *** [Back to top](https://github.com/davidkun/HyperSpectralToolbox#welcome-to-my-project) ***

近期下载者：

相关文件：

评论：[我要评论] [举报此文件]

收藏者：