- Ata Haddadi added an answer:What are the suitable rule sets to separate Asbestos-cement roofs from dark concrete roofs in Hyperspectral image using object based Image analysis ?
Remote sensing, Asbestos, Impervious surface, object based image analysis, Image processing, Image classification, Hyperspectral remote sensing
I recommend to plot signature of both classes and find the absorption bands.
Then calculate continuum removal and other properties for the absorption bands like, depth and FWHM. Even you can use a ratio which presents the differences between these two classes.Following
- Diana Patricia Alvarado Solano added an answer:What is the appropriate way of performing a multi-temporal land cover change detection analysis?
I have three different satellite Images from three different time periods, one from Landsat 8 (30 m), another from ASTER (15m) and one from MODIS (250 m). The objective here is to do a multi-temporal land cover change detection analysis study with the help of Digital Image Classification. I plan to first do the Image Classification for the three images separately and then resample the coarser spatial resolution images to the geometry of the finer spatial resolution, i.e., MODIS (250 m) to 15m pixel size and Landsat (30m) to 15m pixel size respectively for the sake of comparison. Finally after resampling with a Nearest Neighbor Interpolation method I would go ahead with the change detection process.
I am curious to learn whether this is the right approach or are there better means of achieving the desired result?
I I recommend you the use of a unique source of satellite image, it could be LANDSAT. The reason for this, is that it could facilitates the process of change detection, because of the availability of the time period that you need and the uniformity of the spatial resolution. The ASTER image could be used as a reference image for landcover discrimination process.Following
- Sachin Patil added an answer:How can I quantify minerals in a soil sample using a spectrometer in a laboratory (FieldSpec 3)?How can I quantify minerals in a soil sample using a spectrometer in a laboratory (FieldSpec 3)?
U can find this link to be useful also
All d bestFollowing
- Sachin Patil added an answer:How does one interpret Soil Spectral Data taken by Hyperspectral Sensors?I have hyper-spectral data of soil reflectance at one nanometer distance, which have been taken by ASD. Now I have to interpret it in regards to soil chemical properties and soil fertility. Please tell me what analysis I can do on the said dataset and what s/w I require?
I find it as most complete answerFollowing
- Aniekan Eyoh added an answer:Can anybody give me useful input on how to assess salinity hazard in a tropical region using hyperspectral imaging?
My study area is Nigeria
Thank you Peter and Sachin for yourFollowing
- Peter Kardevan added an answer:Can training pixels replace a field campaign in aerial hyperspectral 1m VisNIR SWIR image analysis?
In airborne hyperspectral (1m), can signatures of target objects be extracted from training pixel instead of field campaign? This is to reduce cost; but does this affect information extraction performance? The application is tree species identification in mixed urban and rural environment.
I uploaded my publication on ReseachGate under the title:
Kardeván, P et al 2003 Weed Detection by multispectral satellite images
Though, it was written in Hungarian, I supplied figure captures with English translation for you. You can approach me for further discussion, if you like, via
- H. T. Basavarajappa added an answer:Can somebody recommend a paper describing the use of the Nonlinear optics for hyperspectral imaging?
I would like to know what is being done in this area to understand if that can be relevant to my research.Thank you in advance!
High Resolution imagesFollowing
- Vladimir Farber added an answer:What is hyperspectral imaging system and how does it function?I'm currently preparing the research related on the hyperspectral imaging system. Anyone have any idea how the hyperspectral camera works, understand the hyperspectral camera structure and construction diagram? One more question, what is the difference between using prism and grating in hyperspectral camera.
Lately have become very popular hyperspectral techniques (cameras) for the acquisition of compressed hyperspectral. This cameras implemented by previously multiplexing hyperspectral data and then capturing less measurements.
You can find some interesting methods and hyperspectral camera types in the following paper:Following
- Iftikhar Ali added an answer:How can I use support vector machine and random forest for spectral discrimination?I want to use support vector machine and random forest to discriminate 3 different levels of insect defoliation from data collected from ground based hyperspectral sensors. I also wish to resample my ground based data to different sensors and compare the 2 algorithms above using indices derived from the data.
The scikit-learn library for python is best and easy to use–many machine learning algorithms a implemented in this library.Following
- Maria teresa Melis added an answer:Can anyone recommend the best books in terms of quality and simplicity of explanations for hyperspectral imaging?
Hyperspectral imaging plays important role in my research, but my knowledges in this theme mainly based on a set of articles. I want to expand and orgonize my knowledge in this field. So, which books can be used as the bible for Hyperspectral imaging?
Shunlin Liang- Quantitative Remote Sensing of Land Surfaces- WileyFollowing
- Arindam Guha added an answer:What is swath width in hyperspectral sensor?
The Hyperion EO-1 can image a 7.5 km by 100 km land area per image,
is 7.5km the swath width?
Swath width of hyperspectral sensor depends on platform height and the spatial resolution of the sensors. Swath width of Hyperion sensor is although 7.5 km; the proposed ENMAP sensor has planned Swath for 30 KM without degrading the pixel resolution. This was possible due to advancement of sensor technology.Following
- Ruslan Kozhemiakin added an answer:How to find Spectral change vectors(SCVs) of Hyperspectral images?
Let X1 and X2 be two hyperspectral images acquired in a same geographical
area at times t1 and t2, respectively. The SCVs XD is
computed x=x2-x1. But my question is Should we need to subtract the images by spectral wise?
SCVs may be useful for some applications such as hyperspectral data compression. Some of this aspects you can find in dataset https://www.researchgate.net/publication/258286451_Spie_Ers_13_8892_20.Following
- Jean Guillard added an answer:Can you suggest a remote sensing techniques for mapping submerged aquatic vegetation?
What are the best satellite or aircraft remote sensing techniques for monitoring and mapping submerged aquatic vegetation?
The best solution is to use hydroacoustic from a boat:
Winfield, I. J., C. Onoufriou, M. J. O’Connell, M. Godlewska, R. M. Ward, A.
F. Brown and M. L. Yallop. 2007. Assessment in two shallow lakes of a hydroacoustic system for surveying aquatic macrophytes. Hydrobiologia 584:111-119Following
- Michal Ruš added an answer:Airborne Lidar and Hyperspectral data fusion: which software to use?
I have several airborne hyperspectral 65-105 band datasets with simultaneously acquired lidar data and RGB orthophotos too. Each source has usually a different GSD. I don't have any experience with data fusion so far. My task is to evaluate currently available tools and methods e.g. algebraic procedures, Dempster-Shafer Theory, neural networks, Bayesian networks, fuzzy set theory, principle component analysis or any combined methodology. Suggestions for particular method and tool are welcome.
I have access to commercial (ENVI5, ArcGIS10.2, eCognition8) and free software (QGIS, GRASS, FUSION). Maybe you know of something better for this task..
I have now access to ERDAS Imagine 2014 too.. maybe helps.. It's a shame I don't have latest ENVI 5.2 with LIDAR module..Following
- Vladimir Farber added an answer:Can anyone recommend references on papers describing applications of the integration of the 3D + hyperspectral imaging?
I'm mainly interested to understand in which fields integration of this kind is already used and how it can be performed, that is how we can simultaneously acquire the hyperspectral and 3D information about objects?
Thank you in advance!
Thank you for your responses, Rebecca, Alessandro and Peter.
Does anybody know the additional 3D techniques not considered above, but which also can be used for simultaneous acquisition of the 3D and hyperspectral data?Following
- Ruslan Kozhemiakin added an answer:How can image quality assessment be done for 5 different images of the same scene?
After getting RGB images from a hyperspectral image using 5 different techniques, how can one represent the quality of results quantitatively? A quick and handy solution is required.
Such methods exist, but they have different accuracy and may not reflect the various features of human vision. By the way, check Matlab Central.Following
- Muhammad Tsowa Usman added an answer:What is the challenging issue in water mapping of lakes or rivers by using optical remote sensing data?We are using MNDWI, NDWI, VIUPD and several indices to delineate water boundary from non-water features. We try to implement these methods for floods or lakes and try to choose some best threshold methods.
The turbidity, organic and inorganic matter content of the water, and the nature of the atmospheric layer between the sensors and the water body (often influenced by time of the year) and the nature of the surface at the boundary between water and land could introduce challenges. These variables would affect the albedo of the water body and make it more difficult to distinguish. There have been a number of studies utilising bio-optical and radiation transport models to enhance mapping accuracy.Following
- Christian Rogaß added an answer:smile correction for hyperion datasethi
i want to correct smile effect from my Hyperion dataset while i don't have access to modtran simulation.
can you suggest me an practical way for this purpose?
You can correct for smile using atmospheric absorption features. Those are relatively sharp and Hyperion 'sees' them. Just follow the approach of L. Guanter: http://earth.esa.int/ers/pub/ESA_DOC/PROBA/Guanter_AppOpt_April06.pdf
If you need more assistance, just contact me.
- Alessandro Lugari added an answer:Does anybody have experience in working with 2012 fusion contest data set?I have some trouble in SAR and optic data registration and finding proper ground truth data.Following
- Said M.A. Nawar added an answer:Which methods allow retrieval of mineralogy from soil using proximal sensing?The complex scattering behaviour of minerals within a soil sample may be addressed by model approaches that assume either linear or non-linear reflectance of the constituents.
Thanks Petre for your answer. Really very good book in soil sensing.Following
- Scott Lett added an answer:Is there any publicly available Hyperspectral data-set which can be used for detection of hidden/ camouflaged objects like tanks, mines etc?
Hyperspectral data available for public is limited and I am unable to find any data for the purpose mentioned above. Any help will be greatly appreciated.
I don't speak for them, but you might try contacting Exelis Visual Information Solutions, who sell ENVI. They may know where some freely available data sets might be located. NASA might be another place to ask. Good luck!Following
- José Maria Brabo Alves added an answer:How can I detect desertification by remote sensing?Which image product is best suited for this purpose and how can I download that product?
Today, there are many studies as user remote datas in detection desertification problems (NDVI, climatological indexes, that user precipiation and temperature air in surface, evapotranspiration, etc). Is important knew the environment conditions to associated the climate variability of the indexes.Following
- Gopal Krishna added an answer:Can anyone help with the steps for an object oriented classification in Matlab for a hyperspectral data?
I have a hyperion satellite data and I have tried various classification algorithms on it. Object oriented classification has produced the best results in reputed researches.
Thank you Daniel for your great support.Following
- Christian Rogaß added an answer:Are there non linear SWIR radiometric models?
I am currently trying to calibrate my SWIR hyperspectral imager in radiometric units W/mm²/nm. I use a golden integrating sphere were I input my light source. I include the lens of the camera during calibration. Which models could I use to convert from DN to W/mm²/nm, as a function of the exposure time ?
Are there non linear models ?
Hi, you could use the equations from 1-3 of this paper:
- Sanjiwana Arjasakusuma added an answer:Does anyone have knowledge on full waveform lidar and hyperspectral imagery?
Can anyone suggest to me on technical aspect of how to extract forest biomass from full waveform lidar and hyperspectral imagery (in fusion). Should I run modelling? or software processing by validating with ground data? software? algorithm? I need a general idea
I used R for combining the value of height metrics from lidar and spectral value of the hyperspectral images and running the statistical model using that software. but before running the analysis, I prepare the data separately using ENVI and LasTools, later on I extract the value for each pixels from Lidar metrics and spectral bands and store it as a tabular file along with the ground data to produce the regression equation and the tree model.Following
- Regan Dhaksnamurthy added an answer:How can I apply ABC algorithm to image segmentation?
I need practical view of PSO like bio intelligence algorithm applications in image segmentation. I'm naive in PSO like concepts. I don't know how to apply it to image segmentation concepts.
k thanks for answer. I saw many matlab based ABC algorithm. But I don't know how to apply it for image processing. That's my question.Following
- Behrooz Arastoo added an answer:Which classification method is better for land cover changes detection?Supervised or unsupervised ?
Dear Luis Alonso
thank you so much . how can i get this information?Following
- Amarnath A. added an answer:In absence of any ancillary data, what information can be extracted from satellite images (LISS III/ IV) for soil pollution study around a landfill?Some geochemical data are available in a given area around a landfill site. geology, geomorphology maps/information are not available. In such a situation how can remote sensing or satellite image be used to generate more data to assist in soil pollution mapping?
Dear Kajori, I support Kumaranchat Vinod Kumar's statement.
Even though, NDVI will be a good tool for your experiment, an attempt can be done with multi-temporal imageries. similar indices can also used. The results along with ground investigations will help to deliver some idea about direction and extent of soil pollution, if the soil pollution cause any significant effect on nearby flora. Julian day, Rain fall etc will be influencing factors in this. I suggest you to choose LISS 4 data from your cart.Following
- Anbarasa Pandian added an answer:Can someone recommend a software for analyzing airborne hyperspectral images?Is there any special software beside the commonly know commercial products (ENVI, Erdas, ..) which is useful for visualizing and extraction of spectral signatures, as well as classification of images?Can u send me hyperspectral image data link. i need a hyperspectral images like land, water and forest imagesFollowing
- Stephan Irgenfried added an answer:Where can I find a Matlab code for ground truth image hand labeling GUI?Hi, I am looking for a Matlab code to hand label my images, create classes of connected components (as some isolated pixels) using a GUI. I wish to generate as output a structured element containing a binary image per class. I will use this GUI to label images extracted or within hypercubes. I run under Matlab 2014 64 bit. Thank you!Have a look on the work presented at:
About Hyperspectral Remote Sensing
All remote sensing topics related to hyperspectral data.