Implication of image processing algorithm in remote sensing and GIS applications
An algorithm solves the complex problems more efficiently and consistently. The traditional ways of solving the problems, have been replaced, by several new algorithms. The selection of an appropriate algorithm for any given chore is an imperative issue because different algorithms are based on the...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Asian Research Publication Network
2011
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/23997/1/Implication%20of%20image%20processing%20algorithm%20in%20remote%20sensing%20and%20GIS%20applications.pdf |
| _version_ | 1796970472547549184 |
|---|---|
| author | Pathan, Mubeena Jusoff, Kamaruzaman Mohd Sood, Alias Razali, Yaakob Qureshi, Barkatullah |
| author_facet | Pathan, Mubeena Jusoff, Kamaruzaman Mohd Sood, Alias Razali, Yaakob Qureshi, Barkatullah |
| author_sort | Pathan, Mubeena |
| collection | UPM |
| description | An algorithm solves the complex problems more efficiently and consistently. The traditional ways of solving the problems, have been replaced, by several new algorithms. The selection of an appropriate algorithm for any given chore is an imperative issue because different algorithms are based on the different concepts. One problem can be solved in more than one way; in this regards many alternative algorithms are developed with computational proficiency. This review presents evaluation and utilization of different algorithms such as Simple Recursive Algorithm, Backtracking Algorithm, Divide and Conquer Algorithm, Dynamic Algorithm, Branch and Bound Algorithm, Brute Force Algorithm and Randomized Algorithm. This paper generally analyzed and branch out algorithms to perceive their limitations and delimitation. This review emphasizes the effects and consumption of different algorithms in different image processing applications. Minimum Spanning Tree (MST), the most functional algorithm, described exclusively by the undirected graph in which all nodes are connected. Greedy algorithms expresses as a simple solution algorithm that choose a local optimum solution at each step to achieve a global optimum. We considered the drawbacks and advantage various algorithms and concluded that Greedy algorithm is comparatively better than other algorithms regarding the optimal solution. |
| first_indexed | 2024-03-06T07:58:33Z |
| format | Article |
| id | upm.eprints-23997 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T07:58:33Z |
| publishDate | 2011 |
| publisher | Asian Research Publication Network |
| record_format | dspace |
| spelling | upm.eprints-239972018-07-30T07:31:39Z http://psasir.upm.edu.my/id/eprint/23997/ Implication of image processing algorithm in remote sensing and GIS applications Pathan, Mubeena Jusoff, Kamaruzaman Mohd Sood, Alias Razali, Yaakob Qureshi, Barkatullah An algorithm solves the complex problems more efficiently and consistently. The traditional ways of solving the problems, have been replaced, by several new algorithms. The selection of an appropriate algorithm for any given chore is an imperative issue because different algorithms are based on the different concepts. One problem can be solved in more than one way; in this regards many alternative algorithms are developed with computational proficiency. This review presents evaluation and utilization of different algorithms such as Simple Recursive Algorithm, Backtracking Algorithm, Divide and Conquer Algorithm, Dynamic Algorithm, Branch and Bound Algorithm, Brute Force Algorithm and Randomized Algorithm. This paper generally analyzed and branch out algorithms to perceive their limitations and delimitation. This review emphasizes the effects and consumption of different algorithms in different image processing applications. Minimum Spanning Tree (MST), the most functional algorithm, described exclusively by the undirected graph in which all nodes are connected. Greedy algorithms expresses as a simple solution algorithm that choose a local optimum solution at each step to achieve a global optimum. We considered the drawbacks and advantage various algorithms and concluded that Greedy algorithm is comparatively better than other algorithms regarding the optimal solution. Asian Research Publication Network 2011 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/23997/1/Implication%20of%20image%20processing%20algorithm%20in%20remote%20sensing%20and%20GIS%20applications.pdf Pathan, Mubeena and Jusoff, Kamaruzaman and Mohd Sood, Alias and Razali, Yaakob and Qureshi, Barkatullah (2011) Implication of image processing algorithm in remote sensing and GIS applications. Journal of Theoretical and Applied Information Technology, 34 (1). pp. 34-41. ISSN 1992-8645; ESSN: 1817-3195 http://www.jatit.org/volumes/Vol34No1/thirtyfourth_volume_1_2011.php |
| spellingShingle | Pathan, Mubeena Jusoff, Kamaruzaman Mohd Sood, Alias Razali, Yaakob Qureshi, Barkatullah Implication of image processing algorithm in remote sensing and GIS applications |
| title | Implication of image processing algorithm in remote sensing and GIS applications |
| title_full | Implication of image processing algorithm in remote sensing and GIS applications |
| title_fullStr | Implication of image processing algorithm in remote sensing and GIS applications |
| title_full_unstemmed | Implication of image processing algorithm in remote sensing and GIS applications |
| title_short | Implication of image processing algorithm in remote sensing and GIS applications |
| title_sort | implication of image processing algorithm in remote sensing and gis applications |
| url | http://psasir.upm.edu.my/id/eprint/23997/1/Implication%20of%20image%20processing%20algorithm%20in%20remote%20sensing%20and%20GIS%20applications.pdf |
| work_keys_str_mv | AT pathanmubeena implicationofimageprocessingalgorithminremotesensingandgisapplications AT jusoffkamaruzaman implicationofimageprocessingalgorithminremotesensingandgisapplications AT mohdsoodalias implicationofimageprocessingalgorithminremotesensingandgisapplications AT razaliyaakob implicationofimageprocessingalgorithminremotesensingandgisapplications AT qureshibarkatullah implicationofimageprocessingalgorithminremotesensingandgisapplications |