Remote sensing of wetlands: applications and advances
RW Tiner, MW Lang, VV Klemas - 2015 - books.google.com
This book provides a thorough introduction to the use of remotely sensed data for wetland
classification and mapping, as well as information on the latest technological advancements …
classification and mapping, as well as information on the latest technological advancements …
Image fusion techniques: a survey
The necessity of image fusion is growing in recently in image processing applications due to
the tremendous amount of acquisition systems. Fusion of images is defined as an alignment …
the tremendous amount of acquisition systems. Fusion of images is defined as an alignment …
Random forest wetland classification using ALOS-2 L-band, RADARSAT-2 C-band, and TerraSAR-X imagery
Wetlands are important ecosystems around the world, although they are degraded due both
to anthropogenic and natural process. Newfoundland is among the richest Canadian …
to anthropogenic and natural process. Newfoundland is among the richest Canadian …
On creating benchmark dataset for aerial image interpretation: Reviews, guidances, and million-aid
The past years have witnessed great progress on remote sensing (RS) image interpretation
and its wide applications. With RS images becoming more accessible than ever before …
and its wide applications. With RS images becoming more accessible than ever before …
Urban flood mapping with an active self-learning convolutional neural network based on TerraSAR-X intensity and interferometric coherence
Y Li, S Martinis, M Wieland - ISPRS Journal of Photogrammetry and …, 2019 - Elsevier
Abstract Synthetic Aperture Radar (SAR) remote sensing has been widely used for flood
mapping and monitoring. Nevertheless, flood detection in urban areas still proves to be …
mapping and monitoring. Nevertheless, flood detection in urban areas still proves to be …
Normalized Difference Flood Index for rapid flood mapping: Taking advantage of EO big data
Climate change projections foresee an increasing number of intense precipitation events
with consequent flash and riverine floods. An accurate and rapid mapping of these …
with consequent flash and riverine floods. An accurate and rapid mapping of these …
Unsupervised rapid flood mapping using Sentinel-1 GRD SAR images
We present a new methodology for rapid flood mapping exploiting Sentinel-1 synthetic
aperture radar data. In particular, we propose the usage of ground range detected (GRD) …
aperture radar data. In particular, we propose the usage of ground range detected (GRD) …
Flood detection from multi-temporal SAR data using harmonic analysis and change detection
Abstract Flood mapping from Synthetic Aperture Radar (SAR) data has attracted
considerable attention in recent years. Most available algorithms typically focus on single …
considerable attention in recent years. Most available algorithms typically focus on single …
SAR-to-optical image translation using supervised cycle-consistent adversarial networks
L Wang, X Xu, Y Yu, R Yang, R Gui, Z Xu, F Pu - Ieee Access, 2019 - ieeexplore.ieee.org
Optical remote sensing (RS) data suffer from the limitation of bad weather and cloud
contamination, whereas synthetic aperture radar (SAR) can work under all weather …
contamination, whereas synthetic aperture radar (SAR) can work under all weather …
Earth environmental monitoring using multi-temporal synthetic aperture radar: A critical review of selected applications
Microwave remote sensing has widely demonstrated its potential in the continuous
monitoring of our rapidly changing planet. This review provides an overview of state-of-the …
monitoring of our rapidly changing planet. This review provides an overview of state-of-the …