Tag: Remote Sensing

5xMS Thesis Proposal Defence

5xMS Thesis Proposal Defence

| February 14, 2020 | 0 Comments

Tuberculosis Diagnosis in Medical Imagery using Deep Learning by Inam Ullah Taj Estimating labor population in Brick Kilns using Satellite Imagery and Remote Sensing by Muhammad Awais Ather Compressing neural networks via teacher assisted learning by Umair Haider Online structured filter pruning for neural networks by Shaiq Munir Malik Semantic Segmentation of water channel to […]

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IEEE TGRS – A Residual-Dyad Encoder Discriminator Network for Remote Sensing Image Matching

IEEE TGRS – A Residual-Dyad Encoder Discriminator Network for Remote Sensing Image Matching

| September 27, 2019 | 0 Comments

Numan Khurshid, Mohbat Tharani, Murtaza Taj, and Faisal Qureshi Abstract: We propose a new method for remote sensing image matching. The proposed method uses encoder subnetwork of an autoencoder pre-trained on GTCrossView data to construct image features. A discriminator network trained on University of California Merced Land Use/Land Cover dataset (LandUse) and High-resolution Satellite Scene […]

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MS Thesis Defense: Muhammad Ahmed Bhimra

MS Thesis Defense: Muhammad Ahmed Bhimra

| February 28, 2019 | 0 Comments

Spatio-Temporal Analysis of Landuse-Landcover Change Using Satellite Imagery Thursday 28 Feb, 2019 at 10:00 am in Smart Room 9-105 SBASSE. Abstract We propose an approach to recognize large scale, rapid spatio-temporal analysis of satellite remote sensing data. This technique can be used to measure longitudinal changes and yearly changes. Most of the existing methods either […]

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ICASSP 2019 – Using 3D Residual Network For Spatio-Temporal Analysis Of Remote Sensing Data

ICASSP 2019 – Using 3D Residual Network For Spatio-Temporal Analysis Of Remote Sensing Data

| February 15, 2019 | 0 Comments

Muhammad Ahmed Bhimra, Usman Nazir, Murtaza Taj International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, UK, May 12-17, 2019 Abstract In this paper, we propose an approach to recognize spatio-temporal changes from remote sensing data. Instead of performing independent analysis on each instance of satellite imagery, we proposed a 3D Convolutional Neural Network […]

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M. Ahmed Bhimra

M. Ahmed Bhimra

| January 9, 2019 | 0 Comments

M. Ahmed Bhimra is a MS Thesis student in Computer Vision & Graphics Lab (cvglab) at LUMS Syed Babar Ali School of Science and Engineering.

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Mohbat Tharani

Mohbat Tharani

| January 9, 2019 | 0 Comments

Mohbat Tharani is a Research Assistant in Computer Vision & Graphics Lab (cvglab) at LUMS Syed Babar Ali School of Science and Engineering.

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Usman Nazir

Usman Nazir

| January 9, 2019 | 0 Comments

Usman Nazir is a PhD Student in Computer Vision & Graphics Lab (cvglab) at LUMS Syed Babar Ali School of Science and Engineering.

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Numan Khurshid

Numan Khurshid

| January 9, 2019 | 0 Comments

Numan is a senior PhD Student in Computer Vision & Graphics Lab (cvglab) at LUMS Syed Babar Ali School of Science and Engineering.

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MS Thesis Defense: Mohbat Tharani

MS Thesis Defense: Mohbat Tharani

| May 18, 2018 | 0 Comments

Challenging the dogma of Relevance Feedback in Content based Image Retrieval Systems with Deep Learning May, 2018 at 3:00 pm in Smart Room 9-105 SBASSE. Abstract Association of images to their content based similar images in a database, is quite a fascinating challenge specially on social media platform where billions of tagged and untagged images […]

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Murtaza Taj

Murtaza Taj

| August 6, 2012

Murtaza Taj earned his Ph.D. and M.Sc. degrees in electronic engineering and computer science from the Queen Mary University of London (QMUL), United Kingdom, in 2009 and 2005, respectively. Currently, he is an Assistant Professor at the Lahore University of Management Sciences (LUMS), Syed Babar Ali School of Science and Engineering, Pakistan. He is also […]

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