[ Beneath the Waves ]

Uses of Multispectral Photography

article by Ben Lincoln

 

At a very basic level, multispectral imaging is useful for the same reason as our ability to see the different colours of the visible spectrum: it increases our ability to determine at a distance the properties of what we see. Just as we can make an educated guess about the health of a common plant by whether its leaves are green or brown, or tell the difference between basalt and granite based on their relative brightness, other areas of the electromagnetic spectrum have their own information to share.

This aspect is taken to an extreme in the form of "hyperspectral" imaging and spectrometry. Spectrometry and spectrum analysis don't "take a picture" like a camera would, but provide a continuous graph of the electromagnetic emission from or absorption by a sample of material across a range of the electromagnetic spectrum. Here's an example from the Spitzer Space Telescope, an infrared spectrogram from a planet orbiting a distant star. You can think of this graph as being a "single-pixel" image of the subject. Hyperspectral imaging performs this same detailed measurement, but in the form of a traditional 2-dimensional image similar to what a conventional camera would generate. This flood of data obviously provides an enormous number of possibilities in terms of representation to a human eye.

A related (but distinct) application for imaging outside the human-visible spectrum is that it often allows the viewer to see what would otherwise be undetectable. X-rays are the most common example - they let doctors see bone structure without surgery. Photography of gamma rays can help determine at a safe distance whether or not an object is radioactive.

Each part of the electromagnetic spectrum has its own applications, but I will focus here on the ones which I actually have the equipment to work with.

Infrared

Although it is commonly referred to as a single spectral band ("the infrared"), there are three distinct divisions of this part of the electromagnetic spectrum. There is so much popular confusion about this that I've written a separate article specifically on one of the major differences (Thermal versus Near Infrared).

The section of the infrared closest to human-visible light is called the "near infrared" (also "short-wave infrared" or "SWIR" in some circles). This is the type of infrared that most night vision systems use[1], as well as many remote controls. This is the only infrared light that most cameras with traditional glass lenses can photograph.

The most striking aspect of the near infrared is that living plants reflect it extremely brightly, even when dry enough to appear brown to human eyes. Nature photos using near infrared light are instantly recognizable due to this factor.

Earth's atmosphere scatters near infrared light much less than visible light, which means that a near infrared photograph of a distant area will generally be more well-defined, and less likely to appear hazy. Clouds will appear with great clarity, and the sky will usually be very dark.

Thermal imaging systems make use of far infrared (referred to as "long-wave infrared" or "LWIR" in some fields) and sometimes mid infrared ("medium-wave infrared" or "MWIR") to determine the heat of an object without touching it. You may be familiar with this use if you've seen any of the Predator films. Beyond the obvious utility of being able to see the difference in temperature between objects, thermal imaging is very effective as a sort of "super night vision" system. Every object in the universe whose temperature is above absolute zero (which everyone other than scientists can interpret as "every object in the universe") emits thermal infrared. This means that unlike standard (near infrared) night vision devices, thermal cameras are effective even in the complete absence of light. Deep inside a cave - or an abandoned missile silo, etc. - standard night vision devices are useless without the near infrared equivalent of a flashlight. A thermal imager would still provide a clear view of such an area with no external illumination required.

All three regions of the infrared are very useful to astronomers, and CalTech has an excellent guide to this topic.

Ultraviolet

The most well-known aspect of ultraviolet photography is the patterns on flowers which I mentioned in A Detailed Introduction. If you haven't done so already, I cannot recommend visiting Bjørn Rørslett's site enough for examples of this (in addition to the rest of his photography, which is also stellar).

Image Enhancement and Virtual Photographic Filters

Beyond treating near infrared and ultraviolet-A light as additional primary colours, their proximity to the familiar three means that they can be used to enhance images or provide additional information in other ways.

Forensic photographers make use of near infrared and ultraviolet-A photography in part because blood and other evidence can show up in those images even when it is no longer detectable using conventional methods. In addition, bruises, tattoos, and veins are often much more visible in the near infrared.

Archaeologists have discovered that multispectral imaging can reveal text and images thought to be lost forever. Scrolls blackened by fire and ancient written works which were erased so their parchment could be re-used have both been recovered using near infrared and ultraviolet-A photography.

Kodak has developed a modified digital camera sensor which makes use of near infrared light to provide much better low-light performance. Similarly, both near infrared and ultraviolet-A can be used to enhance visible-light images in a way similar to some traditional photographic filters. I've written up some examples in the Virtual Filters article.

Can't You Just Do That in Photoshop®?

This is a fairly persistent belief which I'll attempt to dispel here.

Of course, any image can be "faked" digitally given enough time and persistence - and in fact, working with image-editing software is a big part of the process I use. The difference is that a simulated image won't actually reveal anything new about its real-world subject.

Photoshop®'s channel mixer includes a preset which converts a regular image into a greyscale simulated near infrared picture, and Ken Rockwell gives a guide for an alternate method. In all fairness, Mr. Rockwell makes clear that the instructions he gives are for artistic purposes, not an attempt to make a true equivalent of an infrared photo.

Here's a comparison between the real near infrared image and these two "faux" approaches using one of the images from my photos of Yellowstone National Park.

Faux NIR Greyscale
[ Real NIR ]
Real NIR
[ Faux NIR (Photoshop Preset) ]
Faux NIR (Photoshop Preset)
[ Faux NIR (Ken Rockwell's Method) ]
Faux NIR (Ken Rockwell's Method)
   

A comparison between one real and two simulated near infrared images.

Date Shot: 2009-09-01
Camera Body: Nikon D70 (Modified)
Lens: Nikon Series E 50mm (?)
Filters: Standard Set plus B&W 106 and 110 NDF
Date Processed: 2009-10-11
Version: 1.0

 

In greyscale, they look at least vaguely similar, although Ken Rockwell's instructions give a much more convincing result. However, when used in a false colour composite, the flaws become glaringly obvious:

Faux NIR False Colour
[ Faux NIR-R-G (Photoshop Preset) ]
Faux NIR-R-G (Photoshop Preset)
[ Faux NIR-R-G (Ken Rockwell's Method) ]
Faux NIR-R-G (Ken Rockwell's Method)
[ Real NIR-R-G ]
Real NIR-R-G
   

A comparison between one real and two simulated NIR-R-G false colour images.

Date Shot: 2009-09-01
Camera Body: Nikon D70 (Modified)
Lens: Nikon Series E 50mm (?)
Filters: Standard Set plus B&W 106 and 110 NDF
Date Processed: 2009-10-11
Version: 1.0

 

While the Ken Rockwell technique is much closer to the genuine article than the Photoshop® preset, it is of course unable to reveal the true near infrared signature of this shot. The microorganisms whose growth appears as red in the "true false colour" version are nowhere to be seen, because that distinction is completely invisible in the human-visible spectrum. The mud and water retain the brown appearance they have for human vision, and the plants which are brown instead of green in the original image (for example, near the center) lack the bright reflectivity they should display in the "faux" near infrared.

My Interests

I enjoy multispectral photography because it lets me see the world in a way that my eyes alone cannot. As long as I can remember, some of my favourite stories have involved worlds that are "just a few steps away" from our own. Charles de Lint's Jack of Kinrowan novels, the Soul Reaver videogames, and the Nightwatch series of books and films from Russia would be the most prominent examples. Reading about astronomy and other branches of science made me realize that there are truly many different views of the universe beyond the one that we tend to take for granted. People are often at their best when they're exploring uncharted terrain, and exotic imaging techniques turn everything into a potential opportunity to step into a valley that's never been trod on by human feet, or turn over a stone that has never been touched by our hands.

 
Footnotes
1. Although modern night vision systems use image amplification and do not require an infrared light source except in very low-light situations, the technology has its roots in World War II-era devices (such as Nazi Germany's "Vampyr" sniper rifle scope) which were ineffective without a bright infrared illuminator. These original devices were less "night vision" and more "invisible light video camera", in that the advantage they conveyed was the ability of the user to shine a spotlight onto their target which the target would be unaware of unless they possessed a similar near infrared scope. Low-end consumer devices today still require the use of such an accessory, and even high-end night vision equipment will generally include one for use when there is not enough ambient light even with amplification.
 
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