Anoop K Shukla - Academia.edu (original) (raw)

Papers by Anoop K Shukla

Research paper thumbnail of A Comparative Analysis of Feature Detectors and Descriptors for Image Stitching

Applied Sciences

Image stitching is a technique that is often employed in image processing and computer vision app... more Image stitching is a technique that is often employed in image processing and computer vision applications. The feature points in an image provide a significant amount of key information. Image stitching requires accurate extraction of these features since it may decrease misalignment flaws in the final stitched image. In recent years, a variety of feature detectors and descriptors that may be utilized for image stitching have been presented. However, the computational cost and correctness of feature matching restrict the utilization of these techniques. To date, no work compared feature detectors and descriptors for image stitching applications, i.e., no one has considered the effect of detectors and descriptors on the generated final stitched image. This paper presents a detailed comparative analysis of commonly used feature detectors and descriptors proposed previously. This study gives various contributions to the development of a general comparison of feature detectors and desc...

Research paper thumbnail of FRCNN-Based Reinforcement Learning for Real-Time Vehicle Detection, Tracking and Geolocation from UAS

Drones

In the last few years, uncrewed aerial systems (UASs) have been broadly employed for many applica... more In the last few years, uncrewed aerial systems (UASs) have been broadly employed for many applications including urban traffic monitoring. However, in the detection, tracking, and geolocation of moving vehicles using UAVs there are problems to be encountered such as low-accuracy sensors, complex scenes, small object sizes, and motion-induced noises. To address these problems, this study presents an intelligent, self-optimised, real-time framework for automated vehicle detection, tracking, and geolocation in UAV-acquired images which enlist detection, location, and tracking features to improve the final decision. The noise is initially reduced by applying the proposed adaptive filtering, which makes the detection algorithm more versatile. Thereafter, in the detection step, top-hat and bottom-hat transformations are used, assisted by the Overlapped Segmentation-Based Morphological Operation (OSBMO). Following the detection phase, the background regions are obliterated through an analy...

Research paper thumbnail of RCC Structural Deformation and Damage Quantification Using Unmanned Aerial Vehicle Image Correlation Technique

Applied Sciences

Reinforced cement concrete (RCC) is universally acknowledged as a low-cost, rigid, and high-stren... more Reinforced cement concrete (RCC) is universally acknowledged as a low-cost, rigid, and high-strength construction material. Major structures like buildings, bridges, dams, etc., are made of RCC and subjected to repetitive loading during their service life for which structural performance deteriorates with time. Bridges and high-rise structures, being above ground level, are hard to equip with the contact mechanical methods to inspect strains and displacements for structural health monitoring (SHM). A non-contact, optical and computer vision based full field measuring technique called digital image correlation (DIC) technique was developed in the recent past to specifically evaluate bridge decks. Generally, optical images of structure in field conditions are not acquired precisely perpendicular to the object, which instinctively affects the deformation results obtained during loading conditions. An unmanned aerial vehicle (UAV) equipped with DIC vision-based technique acts as a rapid...

Research paper thumbnail of Climate change detection and attribution in the Ganga-Brahmaputra-Meghna river basins

Geoscience Frontiers, 2021

Research paper thumbnail of Satellite Precipitation Estimates (SPEs) and Their Validation Using Ground-Based Measurments: A Case Study in Uttarakhand State, India

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020

Hilly regions are characterized by high spatio-temporal variations in climatic characteristic suc... more Hilly regions are characterized by high spatio-temporal variations in climatic characteristic such as rainfall due to variations in the topography. Uttarakhand State is very susceptible to flooding and cloudburst occasions like one happened at Kedarnath area in June 2013. Estimation of rainfall over a hilly region is a challenging task due to scarcity of rain gauge network. Due to the existing gaps and uncertainty in the rainfall data, these regions are susceptible to disasters such as cloudburst and flash floods. Proper understanding of the precipitation patterns of these regions is required so that disaster mitigation plans can be made and implemented accordingly. Remotely sensed and improved, high-resolution rainfall data derived from Tropical Rainfall Measuring Mission (TRMM) satellite can be used as an alternative to the rain gauge observed rainfall data. However, a proper validation of the satellite-derived products is necessary before using it for various applications. This study aims to compare monthly and monsoon seasons precipitation derived product from Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) with the observed rain gauge analysis from January 1998 to December 2012. Statistical investigation was done for computing relationship of the TMPA product with the rain gauge station data. Statistical indices showing good agreements with the rain gauge data on monthly as well as monsoon seasons time scales. It was observed that the TRMM 3B43 rainfall estimates were much closer to the rain gauge data, with minimal biases. It is suggested to develop satellite precipitation retrieval algorithms by combining the topographical and local climatic factors into consideration.

Research paper thumbnail of Rural electrification in India: economic and institutional aspects of renewables

Cambridge Working Papers in …, 2007

The paper assesses the demand for rural electricity services and contrasts it with the technology... more The paper assesses the demand for rural electricity services and contrasts it with the technology options available for rural electrification. Decentralised Distributed Generation can be economically viable as reflected by case studies reported in literature and analysed in our field study. ...

Research paper thumbnail of A Comparative Analysis of Feature Detectors and Descriptors for Image Stitching

Applied Sciences

Image stitching is a technique that is often employed in image processing and computer vision app... more Image stitching is a technique that is often employed in image processing and computer vision applications. The feature points in an image provide a significant amount of key information. Image stitching requires accurate extraction of these features since it may decrease misalignment flaws in the final stitched image. In recent years, a variety of feature detectors and descriptors that may be utilized for image stitching have been presented. However, the computational cost and correctness of feature matching restrict the utilization of these techniques. To date, no work compared feature detectors and descriptors for image stitching applications, i.e., no one has considered the effect of detectors and descriptors on the generated final stitched image. This paper presents a detailed comparative analysis of commonly used feature detectors and descriptors proposed previously. This study gives various contributions to the development of a general comparison of feature detectors and desc...

Research paper thumbnail of FRCNN-Based Reinforcement Learning for Real-Time Vehicle Detection, Tracking and Geolocation from UAS

Drones

In the last few years, uncrewed aerial systems (UASs) have been broadly employed for many applica... more In the last few years, uncrewed aerial systems (UASs) have been broadly employed for many applications including urban traffic monitoring. However, in the detection, tracking, and geolocation of moving vehicles using UAVs there are problems to be encountered such as low-accuracy sensors, complex scenes, small object sizes, and motion-induced noises. To address these problems, this study presents an intelligent, self-optimised, real-time framework for automated vehicle detection, tracking, and geolocation in UAV-acquired images which enlist detection, location, and tracking features to improve the final decision. The noise is initially reduced by applying the proposed adaptive filtering, which makes the detection algorithm more versatile. Thereafter, in the detection step, top-hat and bottom-hat transformations are used, assisted by the Overlapped Segmentation-Based Morphological Operation (OSBMO). Following the detection phase, the background regions are obliterated through an analy...

Research paper thumbnail of RCC Structural Deformation and Damage Quantification Using Unmanned Aerial Vehicle Image Correlation Technique

Applied Sciences

Reinforced cement concrete (RCC) is universally acknowledged as a low-cost, rigid, and high-stren... more Reinforced cement concrete (RCC) is universally acknowledged as a low-cost, rigid, and high-strength construction material. Major structures like buildings, bridges, dams, etc., are made of RCC and subjected to repetitive loading during their service life for which structural performance deteriorates with time. Bridges and high-rise structures, being above ground level, are hard to equip with the contact mechanical methods to inspect strains and displacements for structural health monitoring (SHM). A non-contact, optical and computer vision based full field measuring technique called digital image correlation (DIC) technique was developed in the recent past to specifically evaluate bridge decks. Generally, optical images of structure in field conditions are not acquired precisely perpendicular to the object, which instinctively affects the deformation results obtained during loading conditions. An unmanned aerial vehicle (UAV) equipped with DIC vision-based technique acts as a rapid...

Research paper thumbnail of Climate change detection and attribution in the Ganga-Brahmaputra-Meghna river basins

Geoscience Frontiers, 2021

Research paper thumbnail of Satellite Precipitation Estimates (SPEs) and Their Validation Using Ground-Based Measurments: A Case Study in Uttarakhand State, India

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020

Hilly regions are characterized by high spatio-temporal variations in climatic characteristic suc... more Hilly regions are characterized by high spatio-temporal variations in climatic characteristic such as rainfall due to variations in the topography. Uttarakhand State is very susceptible to flooding and cloudburst occasions like one happened at Kedarnath area in June 2013. Estimation of rainfall over a hilly region is a challenging task due to scarcity of rain gauge network. Due to the existing gaps and uncertainty in the rainfall data, these regions are susceptible to disasters such as cloudburst and flash floods. Proper understanding of the precipitation patterns of these regions is required so that disaster mitigation plans can be made and implemented accordingly. Remotely sensed and improved, high-resolution rainfall data derived from Tropical Rainfall Measuring Mission (TRMM) satellite can be used as an alternative to the rain gauge observed rainfall data. However, a proper validation of the satellite-derived products is necessary before using it for various applications. This study aims to compare monthly and monsoon seasons precipitation derived product from Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) with the observed rain gauge analysis from January 1998 to December 2012. Statistical investigation was done for computing relationship of the TMPA product with the rain gauge station data. Statistical indices showing good agreements with the rain gauge data on monthly as well as monsoon seasons time scales. It was observed that the TRMM 3B43 rainfall estimates were much closer to the rain gauge data, with minimal biases. It is suggested to develop satellite precipitation retrieval algorithms by combining the topographical and local climatic factors into consideration.

Research paper thumbnail of Rural electrification in India: economic and institutional aspects of renewables

Cambridge Working Papers in …, 2007

The paper assesses the demand for rural electricity services and contrasts it with the technology... more The paper assesses the demand for rural electricity services and contrasts it with the technology options available for rural electrification. Decentralised Distributed Generation can be economically viable as reflected by case studies reported in literature and analysed in our field study. ...