An Automated Crop Growth Detection Method Using Satellite Imagery Data

Automated Detection of Clouds in Satellite Imagery

Automated Registration of High Resolution Satellite Imagery for Change Detection

Change detection is important for an up-to-date GIS database. The ever improving spatial, spectral and temporal resolution of satellite imagery allows for reliable detection and characterization of even more details of the changed patterns with higher accuracy. The quality of registration of the involved imagery is the key factor that dictates the validity and the reliability of the change dete...

Global-scale Object Detection Using Satellite Imagery

In recent years, there has been a substantial increase in the availability of high-resolution commercial satellite imagery, enabling a variety of new remote-sensing applications. One of the main challenges for these applications is the accurate and efficient extraction of semantic information from satellite imagery. In this work, we investigate an important instance of this class of challenges ...

Automated Crop Type Mapping from Landsat Imagery

Knowledge of the spatial distribution of crop types is important for many environmental and human health research studies. These studies may require crop type maps over large geographical regions for multiple years, which can be derived only from satellite images. Interpretation of Landsat images using traditional image classification techniques is not feasible for such applications because of ...

An Application for Tree Detection Using Satellite Imagery and Vegetation Data

Virtual reconstruction of large landscapes from satellite imagery can be a time-consuming task due to the number of objects that must be extracted. Poor image resolution and noise hinder automatic detection processes and thus must be corrected by the user. This paper describes an application that allows the user to guide the automatic detection of trees from satellite imagery and spatial vegeta...