Rapid and uncontrolled population growth along with economic and industrial development,
especially in develo** countries during the late twentieth and early twenty-first centuries …

Image classification is a complex process that may be affected by many factors. This paper
examines current practices, problems, and prospects of image classification. The emphasis …

Support vector machines (SVM) are attractive for the classification of remotely sensed data
with some claims that the method is insensitive to the dimensionality of the data and …

In the last few decades, researchers have developed a plethora of hyperspectral Earth
Observation (EO) remote sensing techniques, analysis and applications. While …

Hyperspectral sensing, measuring reflectance over visible to shortwave infrared
wavelengths, has enabled the classification and map** of vegetation at a range of …

The concerns over land use/land cover (LULC) change have emerged on the global stage
due to the realisation that changes occurring on the land surface also influence climate …

Timely and accurate crop classification is of enormous significance for agriculture
management. The Shiyang River Basin, an inland river basin, is one of the most prominent …

This study assesses the performance of the support vector machine image classification
technique in the context of a tropical coastal zone exhibiting low to medium scale …

Mosquito-borne infectious diseases, such as Rift Valley fever, Dengue, Chikungunya and
Zika, have caused mass human death with the transnational expansion fueled by economic …

Advanced imaging spectral technology and hyperspectral analysis techniques for multiple
applications are the key features of the book. This book will present in one volume complete …