Change detection techniques for remote sensing applications: A survey
A Asokan, J Anitha - Earth Science Informatics, 2019 - Springer
Change detection captures the spatial changes from multi temporal satellite images due to
manmade or natural phenomenon. It is of great importance in remote sensing, monitoring …
manmade or natural phenomenon. It is of great importance in remote sensing, monitoring …
Analysis on change detection techniques for remote sensing applications: A review
Satellite images taken on the earth's surface are analyzed to identify the spatial and
temporal changes that have occurred naturally or manmade. Real-time prediction of change …
temporal changes that have occurred naturally or manmade. Real-time prediction of change …
A review of unsupervised band selection techniques: Land cover classification for hyperspectral earth observation data
A hyperspectral image (HSI) is a collection of several narrow-band images that span a wide
spectral range. Each band reflects the same scene, composed of various objects imaged at …
spectral range. Each band reflects the same scene, composed of various objects imaged at …
Band reordering heuristics for lossless satellite image compression with 3D-CALIC and CCSDS
Remote sensing satellite images are used widely in space imaging applications as they
collect significant information of ground objects through capturing the ground surface in …
collect significant information of ground objects through capturing the ground surface in …
An efficient lossless compression technique for remote sensing images using segmentation based band reordering heuristics
The size of remote sensing (RS) image is indeed massive due to hundreds capturing
wavelengths bands used for collecting information about the ground surface. The data in the …
wavelengths bands used for collecting information about the ground surface. The data in the …
Joint Source–Channel Coding: Fundamentals and Recent Progress in Practical Designs
Semantic-and task-oriented communication has emerged as a promising approach to
reducing the latency and bandwidth requirements of the next-generation mobile networks by …
reducing the latency and bandwidth requirements of the next-generation mobile networks by …
Adaptive convolutional neural network using N-gram for spatial object recognition
Remote sensing applications are playing a vital role to improve the commercial satellite
imagery with high resolution. In the spatial information system, object detection is the basic …
imagery with high resolution. In the spatial information system, object detection is the basic …
HYPERSPECTRAL IMAGE (HSI)-ASSISTED MULTI-LEVEL CROP CLASSIFICATION WITH SPINALNET-ENABLED FRACTIONAL LIGHT SPECTRUM OPTIMIZER
The accurate categorization of crop kinds with hyperspectral remote sensing imaging (HRSI)
represents an imperative adaption in agriculture and is of huge emergence in estimating the …
represents an imperative adaption in agriculture and is of huge emergence in estimating the …
Power and sub-channel optimization of JPEG 2000 image transmission over OFDM-based cognitive radio networks
Cognitive Radio is an efficient way of spectrum utilization since secondary users with
bandwidth-demanding applications such as multimedia can get access to licensed …
bandwidth-demanding applications such as multimedia can get access to licensed …
A metadata-free pure soft broadcast scheme for image and video transmission
S Zong, S Gao, G Tu, C Zhang, D Chen - Signal Processing: Image …, 2019 - Elsevier
The SoftCast, as an analog-like transmission scheme, has been proposed to provide
graceful video quality degradation for wireless communication scenarios where channel …
graceful video quality degradation for wireless communication scenarios where channel …