Through Wall Image Enhancement / (Record no. 608484)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02841nam a22001577a 4500 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 621.382,RIA |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Riaz, Muhammad Mohsin |
| 9 (RLIN) | 35188 |
| 245 ## - TITLE STATEMENT | |
| Title | Through Wall Image Enhancement / |
| Statement of responsibility, etc. | Muhammad Mohsin Riaz |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Rawalpindi, |
| Name of publisher, distributor, etc. | MCS (NUST), |
| Date of publication, distribution, etc. | 2013 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxii,100 -p, |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Through wall imaging has wide range of civil and military applications (like attaining hostage or<br/>terrorist information, weapons, explosive materials, building structures, detection buried people etc).<br/>Through wall imaging process involve a wall as an obstacle, which causes strong wall reflections<br/>which are termed as clutter. Moreover, due to reflections from surrounding and some other<br/>artifacts (like system and false targets etc) noise components are also present in the received signals.<br/>To mitigate, the clutters and noise a robust pre-processing (image enhancement) step is essential.<br/>A review of state of the art through wall imaging along with their limitations and drawbacks is<br/>presented. Various statistical methods based improvements are proposed for through wall<br/>image enhancement. The target subspace estimation concept is used for through wall image<br/>enhancement. The input image is decomposed into different spectral components using singular<br/>value decomposition and then different techniques (conventional, clustering and information<br/>theoretic criterions) are applied to extract target spectral components. Minimum description length<br/>criterion based technique is proposed which successfully estimate target spectral components and<br/>extract single and multiple targets more accurately.<br/>Often in through wall imaging, the boundaries of clutter noise and targets are not sharpey<br/>defined which limit the performance of subspace estimation schemes. This motivates the use of<br/>weighting based addition of different spectral components for improved results. Singular values<br/>and their differences are used in combination with fuzzy logic to calculate weights. K-means<br/>clustering based adjustment of membership functions is proposed. Mamdani and Takagi-Sugeno<br/>inference engines are used for input/output mapping. Later textural features extracted from<br/>spectral components are combined to get further improvements in results.<br/>Beside singular value decomposition based schemes, other statistical methods for through wall<br/>image enhancement are explored. A brief discussion on different statistical methods which can be<br/>combined with proposed techniques is presented. The applications of proposed fuzzy logic based<br/>weight computation in different domains including ground penetrating radar, medical imaging and<br/>image fusion are also explored. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | PhD Electrical Engineering Thesis |
| 9 (RLIN) | 133107 |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME | |
| Geographic name | PhD EE Thesis |
| 9 (RLIN) | 133108 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Supervised by Dr. Abdul Ghafoor |
| 9 (RLIN) | 132894 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Thesis |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Date acquired | Full call number | Barcode | Date last seen | Price effective from | Koha item type | Public note |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Military College of Signals (MCS) | Military College of Signals (MCS) | Thesis | 02/29/2024 | 621.382,RIA | MCSPhD EE-25 | 02/29/2024 | 02/29/2024 | Thesis | Almirah No.68, Shelf No.6 |