Near Real-Time Freeze Detection over Agricultural Plots Using Sentinel-1 Data

Real-time detection of wildlife using NOAA/AVHRR data Study area :(Kayamaki Wildlife Refuge)

Forest fire in recent years has paid great attention to climate change and ecosystems. Remote sensing is a quick and inexpensive way to detect and monitor forest fires on a large scale. The purpose of this study was to identify forest and rangeland fire hazards using NOAA / AVHRR in Kayamaki Wildlife Refuge. For the purpose of this study, the history of the fire-burns occurred in MODIS products...

Near Real-time Object Detection in RGBD Data

Most methods of object detection with RGBD cameras set hard constraints on their operational area. They only work with specific objects, in specific environments, or rely on time consuming computations. In the context of home robotics, such hard constraints cannot be made. Specifically, an autonomous home robot shall be equipped with an object detection pipeline that runs in near real-time and ...

Detection of Congenital Mullerian Anomalies Using Real-Time 3D Sonography

A Sparse Representation Method to Detect Saffron Agricultural Lands Using Sentinel-II Satellite Images Time

Nowadays, agricultural management via remote sensing technology has gained a special position among managers and the people who are in charge of this industry. Saffron (Red Gold) is one of specific Iran’s agricultural products with a high economic valance which is used in different fields of food and medical industries. Considering the cultivation conditions of the saffron, there has not a pers...

Real time contextual collective anomaly detection over multiple data streams

Anomaly detection has always been a critical and challenging problem in many application areas such as industry, healthcare, environment and finance. This problem becomes more di cult in the Big Data era as the data scale increases dramatically and the type of anomalies gets more complicated. In time sensitive applications like real time monitoring, data are often fed in streams and anomalies a...