Quest of fool proof methods for extracting various urban features from high resolution satellite imagery with minimal human intervention has resulted in developing texture based algorithms. In view of the fact that the textural properties of images provide valuable information for discrimination purposes, it is appropriate to employ texture based algorithms for feature extraction. The Gray Leve...

In this note, we would like to explore some of the issues suggested by the discussion paper of Pizlo et. al. The context is the study of image of planar objects taken with calibrated cameras. However, in this note, we shall consider the question using notation that has become somewhat standard in the literature of computer vision, particularly in the study of uncalibrated cameras. The projectio...

Variations within local topography can effectively impact the location of tree species naturally forested areas. Furthermore, uncertainty prediction for classification vastly differ amongst and overlying groupings. This study investigated supplementation a suite topographic features corresponding to morphometry hydrological considerations, in addition multispectral imagery other LiDAR-derived f...

Abstract High-energy radiation from the Sun governs behavior of Earth’s upper atmosphere and such any planet-hosting star can drive long-term evolution a planetary atmosphere. However, much this is unobservable because absorption by interstellar medium. This motivates identification proxy that be readily observed ground. Here, we evaluate in near-infrared 1083 nm triplet line neutral orthoheliu...

The objects presented in synthetic-aperture radar (SAR) images are the products of joint actions ground and SAR sensors specific geospatial contexts. With accumulation massive time-domain data, scholars have opportunity to better understand ground-object targets sensor systems, providing some useful feedback for SAR-data processing. Aiming at normalized low-cost radiometric monitoring, this pap...