An overview of the applications of earth observation satellite data: impacts and future trends
As satellite observation technology develops and the number of Earth observation (EO)
satellites increases, satellite observations have become essential to developments in the …
satellites increases, satellite observations have become essential to developments in the …
Remote sensing of land change: A multifaceted perspective
The discipline of land change science has been evolving rapidly in the past decades.
Remote sensing played a major role in one of the essential components of land change …
Remote sensing played a major role in one of the essential components of land change …
Data fusion and IoT for smart ubiquitous environments: A survey
The Internet of Things (IoT) is set to become one of the key technological developments of
our times provided we are able to realize its full potential. The number of objects connected …
our times provided we are able to realize its full potential. The number of objects connected …
Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine
M Maimaitijiang, A Ghulam, P Sidike, S Hartling… - ISPRS Journal of …, 2017 - Elsevier
Estimating crop biophysical and biochemical parameters with high accuracy at low-cost is
imperative for high-throughput phenotyping in precision agriculture. Although fusion of data …
imperative for high-throughput phenotyping in precision agriculture. Although fusion of data …
Deep learning on multi sensor data for counter UAV applications—A systematic review
Usage of Unmanned Aerial Vehicles (UAVs) is growing rapidly in a wide range of consumer
applications, as they prove to be both autonomous and flexible in a variety of environments …
applications, as they prove to be both autonomous and flexible in a variety of environments …
Data fusion and remote sensing: An ever-growing relationship
Characterized by a certain focus on the heavily discussed topic of image fusion in its
beginnings, sensor data fusion has played a significant role in the remote sensing research …
beginnings, sensor data fusion has played a significant role in the remote sensing research …
Insole-based systems for health monitoring: Current solutions and research challenges
Wearable health monitoring devices allow for measuring physiological parameters without
restricting individuals' daily activities, providing information that is reflective of an individual's …
restricting individuals' daily activities, providing information that is reflective of an individual's …
Crop type classification using a combination of optical and radar remote sensing data: A review
Reliable and accurate crop classification maps are an important data source for agricultural
monitoring and food security assessment studies. For many years, crop type classification …
monitoring and food security assessment studies. For many years, crop type classification …
A review of marine geomorphometry, the quantitative study of the seafloor
Geomorphometry, the science of quantitative terrain characterization, has traditionally
focused on the investigation of terrestrial landscapes. However, the dramatic increase in the …
focused on the investigation of terrestrial landscapes. However, the dramatic increase in the …
Land use/land cover in view of earth observation: Data sources, input dimensions, and classifiers—A review of the state of the art
Land use/land cover (LULC) is a fundamental concept of the Earth's system intimately
connected to many phases of the human and physical environment. Earth observation (EO) …
connected to many phases of the human and physical environment. Earth observation (EO) …