The increased availability of high resolution satellite imagery allows to sense very detailed structures on the surface of our planet. Access to such information opens up new directions in the analysis of remote sensing imagery. However, at the same time this raises a set of new challenges for existing pixel-based prediction methods, such as semantic segmentation approaches. While deep neural n...

Geometric correction of SAR satellite imagery is the process to adjust the model parameters that define the relationship between ground and image coordinates. To achieve sub-pixel geolocation accuracy, the adoption of the appropriate geometric correction model and parameters is important. Until now, various geometric correction models have been developed and applied. However, it is still diffic...

This paper presents methodology and evaluation of Digital Surface Models (DSM) generated from satellite stereo imagery using Semi Global Matching (SGM) applied in image space and georeferenced voxel space. SGM is a well known algorithm, used widely for DSM generation from airborne and satellite imagery. SGM is typically applied in the image space to compute disparity map corresponding to a ster...

Photogrammetry is currently in a process of renaissance, caused by the development of dense stereo matching algorithms to provide very dense Digital Surface Models (DSMs). Moreover, satellite sensors have improved to provide sub-meter or even better Ground Sampling Distances (GSD) in recent years. Therefore, the generation of DSM from spaceborne stereo imagery becomes a vivid research area. Thi...

of “Recognition of Vehicles as Changes in Satellite Imagery,” by Özge C. Özcanlı Özbay, Ph. D., Brown University, May 2011 Recently, a new probabilistic representation for 3-d volumetric appearance modeling (VAM) has been developed. In this thesis, VAM is used to model background appearance of a scene given by satellite imagery. The vehicle motion constitutes a significant source of change in t...

Although satellite images were extensively used for the manual synoptic work since they became available, and a lot of rules and conceptual models were developed in order to allow a physical correct interpretation of these data, there are also in the time being analyses distributed by Met Centres which are obviously based on a over-simplified use of the imagery. That refers especially to surfac...

Indonesia, geographically and geologically, is potentially encounter natural disasters. One of the tools used to early detect disaster is sensor of ocean waves change, but it has drawbacks including the time difference between information/warnings obtained with the disaster event is very short, less than 30 minutes. The faster detector is required, so the time difference will be longer. For exa...

The National Polar-Orbiting Operational Environmental Satellite System (NPOESS) aircraft sounder testbed (NAST) has recently been developed and deployed on the NASA ER-2 high-altitude aircraft. The testbed consists of two co-located cross-track scanning instruments: a Fourier transform interferometer spectrometer (NAST-I) [1] with spectral coverage of 3.7–15.5 m and a passive microwave spectrom...

The paper deals with the transformation of an interpretation key, established for a visual interpretation, into a rule base applied for automated image analysis. An object-based approach is used for that purpose. The methodology is demonstrated for the detection of coca fields on medium resolution satellite imagery. The monitoring of illicit coca cultivation in Colombia is currently based on a ...