{"id":20162,"date":"2019-12-10T06:24:08","date_gmt":"2019-12-10T06:24:08","guid":{"rendered":"https:\/\/www.inspirenignite.com\/anna-university\/satellite-image-processing-geo-5th-sem-syllabus-for-be-2017-regulation-anna-univ\/"},"modified":"2019-12-10T06:24:08","modified_gmt":"2019-12-10T06:24:08","slug":"satellite-image-processing-geo-5th-sem-syllabus-for-be-2017-regulation-anna-univ","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/satellite-image-processing-geo-5th-sem-syllabus-for-be-2017-regulation-anna-univ\/","title":{"rendered":"Satellite Image Processing Geo 5th Sem Syllabus for BE 2017 Regulation Anna Univ"},"content":{"rendered":"<p>Satellite Image Processing detail syllabus for Geoinformatics Engineering (Geo), 2017 regulation is taken from <a href=\"https:\/\/www.annauniv.edu\/\" target=\"_blank\" rel=\"noopener\">Anna University<\/a> official website and presented for students of Anna University. The details of the course are: course code (GI8502), Category (PC), Contact Periods\/week (3), Teaching hours\/week (3), Practical Hours\/week (0). The total course credits are given in combined syllabus.<\/p>\n<p>For all other geo 5th sem syllabus for be 2017 regulation anna univ you can visit <a href=\"..\/geo-5th-sem-syllabus-for-be-2017-regulation-anna-univ\">Geo 5th Sem syllabus for BE 2017 regulation Anna Univ Subjects<\/a>. The detail syllabus for satellite image processing is as follows.&#8221;<\/p>\n<p><h4>Course Objective:<\/h4>\n<ul>\n<li>To make the undergraduate Engineering Students understand the concepts, principles, processing of Satellite data in order to extract useful information from them.<\/li>\n<\/ul>\n<p><h4>Unit I<\/h4>\n<p>For complete syllabus and results, class timetable and more pls <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n<p><h4>Unit II<\/h4>\n<p><strong> Sensor Model and Pre Processing<\/strong><br \/>\nImage Fundamentals &#8211; Sensor model &#8211; spectral response &#8211; Spatial response &#8211; IFOV,GIFOV and GSI &#8211; Simplified Sensor Models &#8211; Sampling and quantization concepts &#8211; Image Representation&amp; geometry and Radiometry &#8211; Colour concepts &#8211; Sources of Image degradation and Correction procedures- Atmospheric, Radiometric, Geometric Corrections- Image Geometry RestorationInterpolation methods and resampling techniques.\n<\/p>\n<p><h4>Unit III<\/h4>\n<p><strong> Image Enhancement<\/strong><br \/>\nImage Characteristics &#8211; Histograms &#8211; Scattergrams &#8211; Univariate and multi variate statisticsenhancement in spatial domain &#8211; global, local and colour Transformations &#8211; PC analysis, edge detections, merging &#8211; filters &#8211; convolution &#8211; LPF, HPF , HBF, directional box, cascade -Morphological and adaptive filters &#8211; Zero crossing filters &#8211; scale space transforms &#8211; power spectrum &#8211; texture analysis &#8211; frequency transformations &#8211; Fourier, wavelet and curvelet transformations.\n<\/p>\n<p><h4>Unit IV<\/h4>\n<p>For complete syllabus and results, class timetable and more pls <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n<p><h4>Unit V<\/h4>\n<p><strong> Advanced Classifiers<\/strong><br \/>\nFuzzy set classification &#8211; sub- pixel classifier &#8211; hybrid classifiers, Texture based classification -Object based classifiers &#8211; Artificial Neural nets &#8211; Hebbian leaning &#8211; Expert system, types and examples &#8211; Knowledge systems.\n<\/p>\n<p><h4>Course Outcome:<\/h4>\n<p>At the end of the course the student will be able to understand<\/p>\n<ul>\n<li>Various components and characteristics of image processing systems<\/li>\n<li>The concepts of image geometry and radiometry and corrections<\/li>\n<li>Various types of image enhancement techniques used for satellite image processing<\/li>\n<li>The concepts of Image classification and use of various classifiers<\/li>\n<li>Various object recognisation techniques available for extraction of features<\/li>\n<\/ul>\n<p><h4>Text Books:<\/h4>\n<ol>\n<li>John, R. Jensen, Introductory Digital Image Processing, Prentice Hall, New Jersey, 2005 3rd edition.<\/li>\n<li>Robert, A. Schowengergt, Techniques for Image Processing and classification in Remote Sensing, 1983.<\/li>\n<\/ol>\n<p><h4>References:<\/h4>\n<ol>\n<li>Robert, G. Reeves,- Manual of Remote Sensing Vol. I and II &#8211; American Society of Photogrammetry, Falls, Church, USA, 1983.<\/li>\n<li>Richards, Remote sensing digital Image Analysis &#8211; An Introduction Springer -Verlag 1993.<\/li>\n<li>Digital Image Processing by Rafael C. Gonzalez,Richard Eugene Woods- Pearson\/ Prentice Hall,2008<\/li>\n<li>Fundamentals of Digital Image Processing by Annadurai Pearson Education (2007)<\/li>\n<\/li>\n<\/ol>\n<p>For detail syllabus of all other subjects of BE Geo, 2017 regulation do visit <a href=\"..\/category\/geo+5th-sem\">Geo 5th Sem syllabus for 2017 Regulation<\/a>.<\/p>\n<p>Dont forget to <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">download iStudy<\/a> for latest syllabus and results, class timetable and more.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Satellite Image Processing detail syllabus for Geoinformatics Engineering (Geo), 2017 regulation is taken from Anna University official website and presented for students of Anna University. The details of the course [&hellip;]<\/p>\n","protected":false},"author":2297,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[48,80],"tags":[],"class_list":["post-20162","post","type-post","status-publish","format-standard","hentry","category-5th-sem","category-geo"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/20162","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/users\/2297"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/comments?post=20162"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/20162\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/media?parent=20162"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/categories?post=20162"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/tags?post=20162"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}