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Forgive me if this is too basic an answer: panchromatic and infrared are mutually exclusive. Panchromatic means all visible light, which is generally considered to range 0.4μm to 0.7μm in wavelength. Near (or reflected) infrared energy is generally considered to range 0.7μm to 0.9μm in wavelength, just beyond visible. See Infrared vs. Panchromatic - Mt. ...


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ASTER and MODIS both have global coverage and are suited for larger scale flood analysis. ASTER has a temporal resolution of 16 days and contains 14 spectral bands in VNIR (15m), SWIR (30m) and TIR (90m). Note that ASTER SWIR data acquired from late April 2008 to the present exhibit anomalous saturation of values and anomalous striping. MODIS has a higher ...


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Its not inexpensive eqipment and it has some limitation but it works in cases like in your question, you could find all details here: Ground-penetrating radar Ground-penetrating radar (GPR) is a geophysical method that uses radar pulses to image the subsurface. This nondestructive method uses electromagnetic radiation in the microwave band (UHF/VHF ...


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@nicksan is right. In its simplest form, spectral (pixelwise) classification is based on a set of examples that you define manually. In most RS-oriented software (ENVI, ERDAS, Orfeo Toolbox, etc), this is based on photointepretation, i.e. drawing polygons or sampling pixel of each ground cover class, modeling them with some learning technique and ...


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You should provide more details about the task. In general, extracting features from the data image heavily depends on what you are trying to detect/classify, and how are you trying to do it. Here's an example. If you are interested in classifying roads from an urban scene, you may be interested in evaluating large linear filter responses over the whole ...


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A classifier, any classifier, can classify any kind of data. These objects, as Aaron correctly states, can be pixels, objects, superpixels, bananas, sounds, DNA, etc. The main differences which, in my opinion, is really relevant between superpixel- and pixel-based classification are as follows: pixel based : The resolution of the prediction is maximal, ...



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