NRMT 2270, Photogrammetry/Remote Sensing. Lecture 4
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1 NRMT 2270, Photogrammetry/Remote Sensing Lecture 4 Cameras. Lenses. Photo Scale. Principles of Aerial Photography. Principle and Conjugate Principal Points. Vertical and Oblique Aerial photos. Stereo Viewing. Vertical Exaggeration. Tomislav Sapic GIS Technologist Faculty of Natural Resources Management Lakehead University
2 Cameras Aerial cameras are usually used to take vertical or near-vertical photographs of the ground. Many calculations in photogrammetry are based on the assumption that the photograph is a vertically taken (nearvertical) photograph. Source: Wolf (1974).
3 Cameras Focal (Film) Plane: The plane of the film or sensor Camera and Eye Optics Focal Length: The distance from the rear nodal point of the lens to the film plane. Professional aerial photo cameras usually have longer focal length lenses, e.g. 88 mm, 105 mm, 152 mm, 305 mm, etc. Lens: Optical glass that gathers light rays from object points and brings them to focus at some distance on the opposite side of the lens. Aperture: The hole or the opening through which light is let through the lens and onto the film. Source: Jensen (2007). Shutter: The device that lets the light to pass for a specific period of time.
4 Lenses Thin lens the thickness is considered negligible. The focal length is the distance between the middle of the lens and the image plane. Source: Wolf (1974). The image plane (also called focal plane) is the plane in which all incident light rays are brought to focus (Wolf and Dewitt 2000)
5 Lenses Thick lens one thick lens or a combination of several thin lenses. Incident node Source: Wolf (1974). Emergent node (rear nodal point) The focal length is the distance between the rear nodal point and the image plane. An aerial photo camera thick lens Super Aviogon. Source: Wolf (1974).
6 Lenses The lens assembly is the most important part of the camera. The aerial camera lens on an aircraft is focused at infinity because aircrafts usually fly at thousands of meters above the terrain. Lenses can have different angles of view, depending on the mission requirements. Camera Lens Angle of View Narrow lens: < 60⁰ Normal lens: 60⁰ - 75⁰ Wide-angle lens: 75⁰ - 100⁰ Super-wide angle lens: > 100 ⁰ Source: Jensen (2007).
7 Adjusting the Film/Sensor Exposure: ƒ/stop ƒ/stop = lens focal length diameter of lens opening = f d ƒ/2 = 28 mm 14 mm Source: Jensen (2007). Lenses themselves are referred to by their maximum aperture ƒ/5 lens is faster than ƒ/10 lens (the shutter can be faster). Moving aircrafts have to take photos rapidly to avoid smeared objects on the photos. The ƒ/stop scale increases by (the root of 2), resulting in doubling/halving of the amount of light let in compared to the neighbouring setting.
8 Adjusting the Film/Sensor Exposure: Shutter Speed The length of time the shutter is open is called exposure time. Faster time, less light is let onto the film/sensor. Proper exposure at various light levels (e.g. sunny vs. cloudy) is regulated by changing the shutter speed or ƒ/stop. Source: Jensen (2007).
9 Source: Jensen (2007). Aerial Analog Metric Camera
10 Film Annotation Aerial photos are taken in great numbers and in different conditions, requiring a system of their identification. Aerial photos are also used for different measurements of the earth objects -- the geometry at the moment of taking the photo needs to be recorded and used during the measurements (e.g. fiducial marks recorded on films).
11 Aerial Digital Cameras Two main imaging sensors: Charge-coupled device (CCD) Complimentary Metal Oxide Semiconductor (CMOS) Two main arrays of detectors: Linear create seamless digital image strips. Area create separate, frame, digital images. Source: Jensen (2007).
12 Aerial Digital Cameras Voltages (reflectance/radiance) captured by CCD or CMOS sensor detectors is converted to digital brightness values within the designed data depth (8 bit, or 11 bit, or 16 bit, etc.) and stored in image files (rasters). Depending on the number of detectors (pixels), aerial digital cameras are divided into small-format, medium-format, and large-format cameras.
13 Aerial Digital Cameras Small-Format Typically <= 15 megapixels (MP). Can be used on piloted aircraft or unmanned aerial vehicles (UAVs). Kodak DCS Pro SLR 4560 x 3048 pixels ( ~ 14 MP) 36 x 24 mm CMOS sensor Used to capture in 2007 the LU campus photos used in the lab. Kodak has discontinued the model. Panasonic Lumix DMC GF x 3000 pixels (12 MP) Live MOS sensor (CCD image quality + lower power consumption of a CMOS) Used in the study by Zarco-Tejada et al. (2014).
14 Aerial Digital Cameras Medium-Format Typically megapixels (MP) Canon 550 D 18 MP 22.3 x 14.9 mm CMOS sensor Used in the study by Turner et al. (2014).
15 Aerial Digital Cameras Large-Format True, large-scale, aerial photography cameras. Some cameras, such Leica s ADS-80, are based on multiple linear arrays, each consisting of 12,000 detectors. Others, such as Z/1 Imaging Digital Modular Camera (DMC) and the Vexcel large-format digital camera, are based on the use of multiple area arrays. o Z/1 uses four 7000 x 4000 arrays to obtain panchromatic (grayscale) data and four 3000 x 2000 arrays to obtain multispectral (colour) data. o Microsoft UltraCam Xp CCD sensor has in PAN x pixels and in colour 5770 x 3770 pixels. DMI s Digital Mapping Camera (DMC) Microsoft UltraCam Xp Source: DMI -integration/p68-gispro
16 Created by Leica Geosystems. Leica ADS80 Used in the current province-wide aerial imaging for the primary purpose of creating forest resource inventory. Preceded by ADS40, the newest ADS100. Linear array camera (scanner). CCD lines having pixels each. Detector (pixel) size: 6.5 μm Data channel: 16 bit Field of View (swath angle): 64⁰ Part of a computer system of navigation, data storage and their control. Source: Leica Geosystems (2014). Source: Leica Geosystems (2014).
17 Leica ADS80 Spectral bands (nm): o Panchromatic o Red o Green o Blue o Near-infrared Source: Leica Geosystems (2008).
18 Photo Scale Photo (Map) Scale - the ratio of a distance on a photo or a map to the corresponding distance on the ground. Three ways of expressing scale: 1. Fraction: Representative fraction: 1:20,000 Scale fractions should always be expressed as a ratio of 1 over another number. 3. Unit: 1 cm = 200 m Photo scales are applicable to hard copy photos spatial properties and in some circumstances to camera sensors but they are not applicable to digital aerial images spatial properties. Digital aerial images are scale independent -- they can be digitally displayed at any chosen scale. Spatial resolution is what is used to relate spatial properties of digital aerial images to the ground.
19 Photo Scale s Photo _ Distance Ground _ Distance ab AB Source: Jensen (2007). Example: s 8.75cm m 1750m 1750m
20 Photo Scale s Photo_ Distance xmap_ Scale Map_ Distance Map Scale = 1:50,000 Example: 10.2 s x
21 Photo Scale (Vertical Frame Photography) The scale of a vertical photo is directly proportional to the camera focal length and inversely proportional to flying height above ground. S f (focal_length) H(flying_ height) The focal length based calculation should be directly applied to only the photo printouts (positives) that are at a 1:1 scale versus their negative. Otherwise a scaling of the printout measures to the sensor (film frame) measures is required. Example: S 0.5' 10000' Source: Wolf (1974).
22 Focal Length Based Photo Scale on Variable Terrain (Vertical Frame Photography) Savg H f -havg Example: ƒ = 105 mm = m H = 4500 m asl h = 400 m h1 = 450 m h2 = 50 m h avg = 300 Source: Wolf (1974). Savg
23 Photo Scale (Vertical Frame Photography) When it comes to digital photos, since the printouts are larger than the sensors that captured the photo, the focal length based calculation needs to be adjusted for this difference Camera sensor (CCD): 24 x 35 mm; Camera focal length: 105 mm. Flying height: 3120 m (GPS measured - a.s.l. ) Average terrain height: 440 m Photo printout: 193 x 290 mm. S(sensor) f H-h avg Photo (short side) / sensor (short side) = 193/24 = 8 Photo (long side) / sensor (long side) = 290/35 = Photo scale =
24 Principles of Aerial Photography Types of aerial images depending on the angle from which they were taken: Vertical taken vertically straight down, perpendicular to the surface of the Earth. o A truly vertical photo, is rarely achieved ; often, photos intended to be vertical are taken at less then 1⁰ and rarely exceeding 3⁰ from vertical. These photos are called near-vertical or tilted photos and can, for many practical purposes, still be analyzed using truly vertical photo principles. Source: Jensen (2007). Oblique photos taken at > 3⁰ from vertical Low oblique (horizon not visible) High oblique (horizon visible)
25 Principles of Aerial Photography Types of aerial images depending on their format: 1. Singular, frame images (analog or digital). Analog (a photoprint made from a chemical film) Digital Fiducial Marks
26 Types of aerial images depending on their format: 2. Seamless image strip (digital). GIS layer Image strip
27 Digital Aerial Images Linear sensors usually create much larger images than area sensors, especially commercial, small/medium/large format camera sensors, at equal spatial resolutions, e.g., 40 cm. Professional Aerial, Large-scale Aerial Linear Professional Aerial, Large-scale Aerial Area (Frame) Commercial, Small Format (Frame) ~1.2 km ~25 km ~3.6 km ~4.5 km ~7 km ~1.8 km
28 Principles of Aerial Photography Frame Images Source: Jensen (2007).
29 Principal Points (PPs), Conjugate Principal Points (CPPs) and Lines of Flight (Flight Lines) (Frame Images) Fiducial marks are part of the image coordinate system, formed by horizontally and vertically connecting the opposing fiducial marks and creating the x and y image axis, respectively The intersection of the two axes is called principal point. The principal point at the intersection of the x and y axes is through the manufacturing and calibration of the camera made very close to the true principal, which is the point in the image plane where a line from the rear nodal point of the lens, perpendicular to the image plane, intersects the image plane. (Wolf and Dewitt 2000). Source: Jensen (2007). Contrary to the shown, the flight line rarely coincides with the image x axis.
30 Principal Points (PPs), Conjugate Principal Points (CPPs) and Flight Lines (Frame Images) A Conjugate Principal Point (CPP) on a photo is the location of the Principal Point on an adjacent, end-overlapping, photo. The CPP location needs to be identified stereoscopically to account for radial displacement. In other words, the CPP shows over which point the camera (the plane) was positioned when the adjacent photo was taken. That means that the line connecting the PP and a CPP on a photo represents the flight line over the area (terrain) shown in the photo. PP76 Flight Line CPP77 CPP76 Flight Line PP77
31 Stereoscopic Vision When focusing with two eyes on an object, a parallactic angle is formed. The closer the object is to the eyes the wider the parallactic angle is. The brain has learned to associate distances D A and D B with parallactic angles Ø a and Ø b, respectively, and gives the viewer the visual and mental impression that A is closer than B. Looking out farther away makes differences in parallactic angles more and more subtle, to the point of them being undistinguishable to an average human adult at around 1000 m. The eye base would need to stretch out to a meter or hundreds of meters, creating hyperstereoscopy. Source: Jensen (2007). Obviously, biologically this is impossible, but can be substituted by using a model, i.e. stereo (aerial) photos.
32 A pair of two stereo photos is called a stereopair. Source: Wolf (1974). A stereopair implies that the two photos can be viewed in stereo, meaning that they, partially or completely, show the same area there is an overlap in the area shown. When viewing stereo photos in stereo, parallactic angles are formed between the eyes and the points on the viewed images of objects. Parallactic angle is formed parallel to the flight line stereo photos have to be positioned so that their flight lines are in a straight line and the photos need to be separated by a distance that forms the parallactic angle of the viewer.. The brain observes the multitude of points on the two stereo photos and forms a three dimensional stereomodel.
33 Pseudostereo When the two photos are reversed and the left eye is viewing the right photo and the right eye the left photo, pseudostereo is created the field of view 3D depth is reversed: e.g., hills look like valleys and valleys like hills.
34 Once a stereopair is created what is left to do is to place the stereo photos/images in a proper position and restrict the left eye to seeing the left photo/image only and the right eye to seeing the right photo/image only. This visual separation is achieved through different means, including using stereoscopes, anaglyph glasses, polaroid glasses, and shutter glasses. Lens/pocket sterescope Source: Jensen (2007).
35 Anaglyph Glasses Anaglyph glasses cyan red The left image (from the viewer s perspective) is displayed in red and the right in cyan. The left eye, red, filter on the glasses, absorbs cyan and lets through red and the right eye, cyan, filter, absorbs red and lets through only cyan.
36 Polarized Glasses From How Stuff Works howstuffworks. com/3-dglasses2.htm
37 Computer Generated Stereo Display With Shutter Glasses Shutter glasses Emitter The computer, through the graphics card, shows the left and the right image on the screen and alternately turns them on and off ~60 times/sec (Hz) each. Picture from rests/2columnsubpage/ html The emitter is connected to the computer graphics card and syncs through infrared the shutter glasses with the image displays - the left lens on the glasses opens up when the left image is displayed and closes when the right image is displayed; the opposite applies to the right lens.
38 Creation of Stereo Images with ADS80 ADS80 is a camera with a linear scanner, which means that it creates a seamless image strip. Images are taken from three different angles, backward, nadir, and forward. Source: Leica Geosystems (2008).
39 Stereo Viewing of a Seamless Image Strip by ADS40
40 Seamless Image Strip Triplet (Forward, Nadir, and Backward View) Backward Nadir Direction of flight Forward From:
41 Vertical Exaggeration in Stereoviewing V base _ to _ height _ ratio _ of _ actual _ object perceived _ base _ to _ height _ ratio _ of _ stereoscopic _ object V vertical exaggeration B/H base-height ratio b e /h stereoviewing ratio (inversed in equation on the left) Stereoviewing (perceived base-to-height) ratio is approximately 0.15 average adult eye base is about 60 mm and the height of viewing in stereo, although difficult to measure, has been estimated to ~ 400 mm. Example: ƒ = 305 mm (12 inch) on a film camera; photo is a 9 inch square, taken at 3,000 feet, with 60 % overlap (40% move laterally). Stereoviewing ratio is assumed to be 0.15 (use 1/0.15 in the equation!). - Result: Photo scale = 1:3000; photo total ground coverage = 2,250 ft; base, B, = 2,250 * 0.4 = 900 feet; V = 900/3000 * 1/0.15 = 2.0 (approx.).
42 References: Jensen., J. R Remote Sensing of the Environment: An Earth Resource Perspective. Pearson Prentice Hall. Leica Geosystems Leica - 3rd Generation Airborne Digital Sensors: Features/Benefits for Remote Sensing & Environmental Application. 2F%2Fmars.jrc.ec.europa.eu%2Fmars%2Fcontent%2Fdownload%2F1176%2F6943%2Ffile%2FT1_Rohrbac h_rohrbach-airbornesensors-3rd_leica.pdf&ei=35nkuvrqma- E2gWWqoCwBw&usg=AFQjCNFxEdk3vWVOSM_CAXFELGDLjceZNg&bvm=bv ,d.b2I&cad=rja. Leica Geosystems January 20, Turner, D., A. Lucieer and L. Wallace Direct georeferencing of ultrahigh-resolution UAV imagery. IEEE Transactions on Geoscience and Remote Sensing. 52(5). Vexcel UltraCam-XP Technical Specifications. White, R How Computers Work. QUE, Indianapolis, IN, USA. Wolf, P. R Elements of Photogrammetry. McGraw-Hill, Inc. Wolf, P. R. and Dewitt B. A Elements of Photogrammetry with Applications in GIS. The McGraw-Hill companies, Inc. 3 rd Edition. Zarco-Tejada, P.J., R. Diaz-Varela, V. Angileri and P. Loudjani Tree height quantification using very high resolution imagery acquired from an unmanned aerial vehicle (UAV) and automatic 3D photorconstruction methods. European Journal of Agronomy. 55:89-99.
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