[BOOK][B] Computer processing of remotely-sensed images
Computer Processing of Remotely-Sensed Images A thorough introduction to computer
processing of remotely-sensed images, processing methods, and applications Remote …
processing of remotely-sensed images, processing methods, and applications Remote …
Improving lithological map** by SVM classification of spectral and morphological features: The discovery of a new chromite body in the Mawat ophiolite complex …
The mineral ore potential of many mountainous regions of the world, like the Kurdistan
region of Iraq, remains unexplored. For logistical and sometimes political reasons, these …
region of Iraq, remains unexplored. For logistical and sometimes political reasons, these …
Fine building segmentation in high-resolution SAR images via selective pyramid dilated network
The building extraction from synthetic aperture radar (SAR) images has always been a
challenging research topic. Recently, the deep convolution neural network brings excellent …
challenging research topic. Recently, the deep convolution neural network brings excellent …
Integration of spectral, spatial and morphometric data into lithological map**: A comparison of different Machine Learning Algorithms in the Kurdistan Region, NE …
Lithological map** in mountainous regions is often impeded by limited accessibility due to
relief. This study aims to evaluate (1) the performance of different supervised classification …
relief. This study aims to evaluate (1) the performance of different supervised classification …
Lithological discrimination and structural lineaments extraction using Landsat 8 and ASTER data: a case study of Tiwit (Anti-Atlas, Morocco)
A Marzouki, A Dridri - Environmental Earth Sciences, 2023 - Springer
The present work reveals the potential of Landsat 8 and ASTER imagery in the lithological
discrimination and structural lineaments extraction in the Tiwit region (Jbel Saghro). Various …
discrimination and structural lineaments extraction in the Tiwit region (Jbel Saghro). Various …
Classification of multisource remote sensing imagery using a genetic algorithm and Markov random fields
BCK Tso, PM Mather - IEEE Transactions on Geoscience and …, 1999 - ieeexplore.ieee.org
The use of contextual information for modeling the prior probability mass function has found
applications in the classification of remotely sensed data. With the increasing availability of …
applications in the classification of remotely sensed data. With the increasing availability of …
Integrating airborne multispectral imagery and airborne LiDAR data for enhanced lithological map** in vegetated terrain
Practical and financial constraints associated with traditional field-based lithological
map** are often responsible for the generation of maps with insufficient detail and …
map** are often responsible for the generation of maps with insufficient detail and …
Exploratory geospatial data analysis using the GeoSOM suite
Clustering constitutes one of the most popular and important tasks in data analysis. This is
true for any type of data, and geographic data is no exception. In fact, in geographic …
true for any type of data, and geographic data is no exception. In fact, in geographic …
Lithological map** of the Troodos ophiolite, Cyprus, using airborne LiDAR topographic data
Traditional field-based lithological map** can be a time-consuming, costly and
challenging endeavour when large areas need to be investigated, where terrain is remote …
challenging endeavour when large areas need to be investigated, where terrain is remote …
Integration of Landsat TM, gamma-ray, magnetic, and field data to discriminate lithological units in vegetated
EM Schetselaar, CJF Chung, KE Kim - Remote Sensing of Environment, 2000 - Elsevier
Image classification of geological units in vegetated granite-gneiss terrain from multispectral
data is hampered by vegetation cover and limited spectral contrast of its lithological …
data is hampered by vegetation cover and limited spectral contrast of its lithological …