An Adaptive Technique to Detect and Remove Shadow from Drone Data
- PDF / 1,781,414 Bytes
- 8 Pages / 595.276 x 790.866 pts Page_size
- 92 Downloads / 184 Views
RESEARCH ARTICLE
An Adaptive Technique to Detect and Remove Shadow from Drone Data Ankush Agarwal1
•
Sandeep Kumar1
•
Dharmendra Singh2
Received: 14 October 2020 / Accepted: 22 October 2020 Ó Indian Society of Remote Sensing 2020
Abstract Unmanned aerial vehicles (UAVs)/drones are used to capture and monitor real-time data for various applications. Different sensors may be mounted on the UAV like 4K RGB camera, RedEdge-M and many others. 4K camera is used to capture an image in RGB bands, and RedEdge-M captures an image in five bands namely Blue, Green, Red, RedEdge and Near Infrared having a center wavelength of 475, 560, 668, 717 and 840 nm, respectively. Quality of an image can be judged with its basic two properties, i.e., spatial and spectral information. The images obtained by these sensors are useful for monitoring various targets. One of the most important challenges for any UAV sensor image is a shadow that affects a lot the quality of an image. A shadow can hinder the identification of the target and also affect the vegetation parameters which highly depend on the band values. Huge change in the class labels has been identified during classification because of shadow. Band values can highly suffer from shadow, and thus, it is required to minimize the shadow effect without compromising the image quality. Therefore, in this paper, an attempt has been made to minimize the shadow effect by proposing an algorithm that is based on spatial distribution of neighboring pixels and is compared with other known techniques. The study area chosen is an agriculture field nearby Roorkee region, which lies in the northern part of India having central latitude–longitude as 29.9457°N, 78.1642°E. The images were captured using DJI Phantom 3 pro at an altitude of 100 m which provides a spatial of 0.05 m. It is observed that the proposed method shows better results as compared to others. Keywords Drone Shadow detection Shadow removal Reconstruction
Introduction Monitoring evaluates before and after condition, quantity, etc. which depend on the quality of the images. Quality of an image can be judged with its basic two properties as spatial and spectral information. Satellite imagery has played a major role in the monitoring of various situations & Dharmendra Singh [email protected] Ankush Agarwal [email protected] Sandeep Kumar [email protected] 1
Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India
2
Department of Electronics and Communication Engineering, Indian Institute of Technology Roorkee, Roorkee, India
but it has a certain limitation in terms of spatial, spectral and temporal granularity. Few satellite sensor data that have good spatial resolution are highly paid. In the present era, UAVs are often used which can be flown according to the need and demand. They can also be used to capture the data where it is not possible for a person to go and collect data during relief operation in a disaster, natural coverage or its effect, etc. Researches ha
Data Loading...
