Types of image interpretation in remote sensing ppt pdf

Image interpretation process incoming radiation characteristics reflection characteristics of the object image quality the interpreters skills and ability image interpretation process 1. Know basics of remote sensing quickly and become expert. Depending on the facilities that an image interpreter has, he might interpret images in raw form, corrected form or enhanced form. Remote sensing of environment an interdisciplinary journal remote sensing of environment serves the earth observation community with the publication of results on the theory, science, applications, and technology of remote sensing studies. Remote sensing and image interpretation fifth edition. Most earth imaging satellites is polarorbiting, meaning that they circle the planet in a roughly northsouth ellipse while the earth revolves beneath them. Remote sensing is used in numerous fields, including geography, land surveying and most earth science disciplines for example, hydrology, ecology, meteorology, oceanography, glaciology. Aerial photographs are generally analog, while satellite data is in digital form.

Remote sensing is the science and technology by which the properties of specified objects, area, or phenomenon can be identified, measured, and analyzed without direct contact with them in order to make useful decisions. Soft computing for environmental applications and remote sensing soft computing for remote sensing image processing and interpretation fabio scotti manuel roveri a free powerpoint ppt presentation displayed as a flash slide show on id. Remote sensing technologies that use this type of system include lidar laser and radar. Similarly interpretation of aerial photographs through 3d generation through visual studies. Image interpretation keys historically referred to as photo interpretation keys are designed to aid in the identification of features. The process of remote sensing, its principles, platforms and sensors are discussed. Besides these, the time the photograph is taken, film type, and photoscale. In the decades to come, remote sensing will be a key tool for making critical decisions affecting the earth and its resources. A panchromatic image extracted from a spot panchromatic scene at a ground resolutionof 10 m. The most common types of image enhancement tools can be found in most gis and image processing software. This is an ikonos image of a container port, evidenced by the presence of ships, cranes, and regular rows of rectangular containers. The brightness values for each of these bands are typically stored in a separate grayscale image raster. This mainly refers to its usage in military aerial reconnaissance using photographs taken from reconnaissance aircraft and satellites the principles of image interpretation have been developed empirically for more.

The four types of resolutions spatial, spectral, temporal and radiometric are also discussed. The adobe flash plugin is needed to view this content. In the previous units, you have studied about remote sensing sensors, platforms and their types. The image analyst may also find it useful to employ image enhancement as a means of understanding or discovering the image content as a precursor to digital analysis. Rscal digital image processing module introductory image processing the remote sensing core curriculum.

Image classification assigning pixels in the image to categories or classes of interest. In the visual interpretation of remotely sensed images, a variety of image. Presentations ppt, key, pdf logging in or signing up. This mainly refers to its usage in military aerial reconnaissance using photographs taken from reconnaissance aircraft and satellites. The use of landsat image to map land use and land cover has been an accepted practice since the launch of landsat1 in 1972. Balloon, airplane, helicopter, satellite, space shuttle, space station, ship, masts, tower, car, hand held. Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object and thus in contrast to onsite observation, especially the earth. Digital image processing for image enhancement and. It involves identification of various objects on the terrain which may be natural or artificial consists of points, lines, or polygons. This procedure is often used as the first step of image interpretation.

We invite authors to submit their articles to remote sensing in order to improve current knowledge of the image processing technique in remote sensing. The presentation talks about its need and who uses remote sensing. Pigeon fleets were another form of remote sensing in the early years. Remote sensing image processing a section of remote sensing. After finishing with each image, pass it to the next group and. Ppt soft computing for environmental applications and. Remote sensing image interpretation for urban environment analysis. In order to process remote sensing imagery digitally, the data must be recorded and available in a digital form suitable for storage on a computer tape or disk. Active remote sensing radar and lidar systems are rapidly increasing in use since the launch of the ers1 synthetic aperture radar sar satellite in 1991. Remote sensing began in the 1860s as balloonists took pictures of the earths surface. Proper map scale to enable appropriate presentation of interpreted information. After finishing with each image, pass it to the next group and collect the next image. Image interpretation of remote sensing data is to extract qualitative and quantitative information from the photograph or imagery.

Usually, a combined team consisting of the subject specialists and the remote sensing image analysis specialists is required for a relatively large image interpretation task. Remote sensing is defined as the science and technology by which characteristics of objects of interest can be identified without direct contact concept of remote sensing earth observation from space and air remote sensing is a technology to observe objects size, shape and character without direct contact with them. Different time and date, change studies remote sensing photographic aerial photographs remote sensing. Image interpretation comprises at least three mental acts that may or may not be performed simultaneously. Image interpretation of remote sensing data geospatial world.

The radiometric information is the main information type utilized in the interpretation. Initially cameras were used to take photographs on the ground, which provided and still does a fascinating and exciting way to capture moments in time and keep a record of something that happened, which looked more realistic than a drawing or painting. A digital image is made up of square or rectangular areas called pixels. The applications of objectbased image analysis obia in remote sensing. Radiometric color depth spatial resolution describes how much detail in a photographic image is visible to the human eye. We have also discussed about the concept of image resolution. Types of remote sensing each type of remote sensing is differently suited for analysissome are optimal for closer scanning and some are much more advantageous from great distances. Different types of remote sensing active and passive. Familiar features visible in the image, such as the buildings, roadside trees, roads and vehicles, make interpretation of the image straight forward. Land cover mapping is one of the main areas of remote sensing data application 9,10.

Thoroughly interdisciplinary, rse publishes on terrestrial, oceanic and atmospheric sensing. The resolution is 4 m in 128 multispectral bands in the 380 2500 nm range. In this portion of the session, we will illustrate some ways you might use new tools borne of remote sensing, in your interpretive productsbe they programs, exhibits or writing. This presentation is compilation of the study material provided from iirs dehradun, india and on the net as just study material. Digital image processing for image enhancement and information extraction summary digital image processing plays a vital role in the analysis and interpretation of remotely sensed data. Feature identification to support remote sensing image interpretation. Because of the wide range of academic and professional settings in which this book might be. Remote sensing and image interpretation slideshare. Remote sensing in the science and art of obtaining information about an object, area or phenomenon through the analysis of data acquired by a device that is not in contact with the object, area, or phenomenon under investigation. Visual image interpretation, remote sensing and gis.

The applications of remote sensing include landuse mapping, weather forecasting, environmental study, natural hazards study. Extensively revised to address todays technological advances, aerial photography and image interpretation, third edition offers a thorough survey of the technology, techniques, processes, and methods used to create and interpret aerial photographs. In general analog format in remote sensing data is. Chapter one introduction to satellite remote sensing gee 331 principles of remote sensing and images interpretation lab presented by md. Image interpretation keys are typically project specific, and are most often employed in those cases where a group of image analysts are interpreting individual areas, but must generate a consistent product. Radiometric resolution determines how many gradations of brightness can be stored for each cell pixel in the matrix. Once remote sensing data have been collected, the user must interpret the data to derive the information needed to help make decisions. It is a technology for sampling electromagnetic radiation to acquire and interpret nonimmediate geospatial data. The choice of specific techniques or algorithms to use depends on the goals of each individual project. History of remote sensing the invention of photography in 1839 made remote sensing eventually possible. Other modern remote sensing methods include infrared, conventional air photography, and doppler radar imaging. This is done by sensing and recording of reflected and emitted energy. Aerial photography and image interpretation wiley online. We can clearly see big white blocks kind of structures.

Dec 23, 2016 remote sensing and image interpretation 1. This is the sensitivity to small differences in the radiation of an observed object. All these technologies are integrated to act as one complete system in itself, known as remote sensing. Unsubscribe from digital image processing of remote sensing. Gray tone pseudo color image the electromagnetic radiation emr recorded by remote sensing system can be displayed in shades of gray ranging from black to white tone.

Especially data obtained from satellite remote sensing, which is in the digital form, can best be utilised with the help of digital image processing. Nov 25, 2019 today, small remote sensors such as cameras and satellites are used by law enforcement and the military in both manned and unmanned platforms to gain information about an area. Obviously, the other requirement for digital image processing is a computer system, sometimes referred to as an image analysis system, with the appropriate hardware and software to. May 24, 2015 remote sensing is the art and science of acquiring information about the earth surface without having any physical contact with it. Introduction to remote sensing and image processing. This image was acquired using aircraft flown by earth search sciences inc. The ability to resolve, or separate, small details is one way of. Elements of image interpretation tone and color green red nearinfrared color composite rgb green, red, nearinfrared. The new, completely updated edition of the aerial photography classic. Remote sensing introduction to image classification remote sensing. Remote sensing and image interpretation by lillesand, kiefer, and chipman is one of those three or four must have books that every remote sensing scientist has as part of their personal library.

Aerial photographic and satellite image interpretation. Image analysis is the science of interpreting speci. Concept of image classification image classification assigning pixels in the image to categories or classes of interest examples. Image interpretation, japan association of remote sensing. Pattern indicates type of objects and their physical, biological, and cultural. Remote sensing image acquisition supplement to lecture 1 material prepared by r. The technology of modern remote sensing has a very long history, dating back to the end of the 19th century with the invention of the camera. Our new crystalgraphics chart and diagram slides for powerpoint is a collection of over impressively designed datadriven chart and editable diagram s guaranteed to impress any audience. Passi e sensing j st listenpassive sensing just listen visibleinfrared. Ppt introduction to remote sensing powerpoint presentation. Image interpretation of remote sensing data is to extract qualitative and quantitative. Download this books into available format 2019 update.

Remote sensing applications in soil survey and mapping. The most common types of image enhancement tools can be found in most gis and image. We in interpretation are dedicated to conveying ageold stories and provoking people to think about our surroundings in new ways. Many natural and manmade features on the ground have very unique shapes that can be referenced in photo and image interpretation. Nevertheless, many challenges still remain in the remote sensing field which encourage new efforts and developments to better understand remote sensing images via image processing techniques. There are two types of remote sensing technology, active and passive remote sensing active sensors emit energy in order to scan objects and areas whereupon a sensor then detects and measures the radiation that is reflected or backscattered from the target. Remote sensing introduction to image classification.

Examples of visual interpretation techniques are explored using a variety of images that. Use of satellite remote sensing for soil survey and mapping received appreciation during early 1980s in india, and based on the potential of remote sensing techniques it was decided to map all the states and union territories of india on 1. Pdf remote sensing image interpretation for urban environment. Photographic interpretation is the act of examining photographic images for the purpose of identifying objects and judging their significance colwell, 1997. Lathrop 999 updated 803 includes slides previously prepared by s. The methodologies for ecological unit mapping can be roughly divided into three categories. Targets in remote sensing images may be any feature or object which can be observed in an image, and have the following characteristics. Application of remote sensing techniques in identification. The new edition also covers other forms of remote sensing.

Sep 20, 2016 the presentation is about the basics of remote sensing. Many image processing and analysis techniques have been developed to aid the interpretation of remote sensing images and to extract as much information as possible from the images. Methods, system and examples article pdf available in remote sensing 610. Rs 625 visual interpretation much interpretation and identification of targets in remote sensing imagery is performed manually or visually, i.

In this course you will learn how to recognize the contents of satellite images by performing visual interpretation and analysis for various civilian features and contents exist in these images. Remote sensing components, types, applications, and advantages. Colour composite images and visual image interpretation duration. Remote sensing image processingpreprocessinggeometric correctionatmospheric correction image enhancement image classification prof. Biological life forms possess an ability to visually sense reflected light. Leftclick on the down arrow and you find a list of different type of histogram stretches available in arcmap. Remote sensing and image interpretation, 7th edition wiley. Ppt introduction to visual image interpretation, chapter 4. Mss 6 bits landsat tm 8 bits ikonos 11 bits ers sar 16 bits a key concept of remote. Ppt introduction to visual image interpretation, chapter 4, remote sensing and image interpretation powerpoint presentation free to view id. To derive useful spatial information from images is the task of image interpretation. In the process of remote sensing involves an interaction between the incoming radiation and interest of target. Remote sensing is the process of detecting and monitoring the physical characteristics of an area by measuring its reflected and emitted radiation at a distance from the targeted area, and. Satellite images visual interpretation online training.

Select image material depending on purpose and scale for presentation 3. Image interpretation is the most basic form of remote sensing analysis, consisting of manual identification of features in a remote. Colvard a free powerpoint ppt presentation displayed as a flash slide show on id. Chart and diagram slides for powerpoint beautifully designed chart and diagram s for powerpoint with visually stunning graphics and animation effects. This method can be highly reliable and a wide variety of features can be identified, such as riparian vegetation type and condition, and anthropogenic features such as roads and mineral extraction. Remote sensing, gis and gps 37 optics, spectroscopy, photography, computers, electronics and telecommunication, etc. I measurement of images of objects ii identification of the objects imaged iii appropriate use of this information in the solution of the problem 78 remote sensing visual image interpretation. Image data are rasters, stored in a rectangular matrix of rows and columns. Image classification many remote sensing systems record brightness values at different wavelengths that commonly include not only portions of the visible light spectrum, but also photoinfrared and, in some cases, middle infrared bands. Four main types of information contained in an optical image are often utilized for image interpretation. A measuring instrument in the earth explorationsatellite service or in the space research service by means of which information is obtained by reception of radio waves of natural origin.

Image is a pictorial representation of an object or a scene. Lecture 6 digital image processing 2 enhancment and. Hyperspectral image of the university of idaho campus and the western part of moscow and surroundings. Image interpretation is the process of examining an aerial photo or digital remote sensing image and manually identifying the features in that image. Yuji murayama surantha dassanayake division of spatial information science graduate school life and environment sciences university of tsukuba. Principles of remote sensing centre for remote imaging.

804 697 1473 996 376 669 317 569 222 322 779 921 1160 1244 1071 1384 826 442 174 646 626 987 522 128 1488 1481 579 506 785 612 356 1347 1496 876 1388 132 886 640 429 702 206 158 889 1210 399 695 1106 1424 474