Výsledky vyhledávání - "International journal of remote sensing"
-
1
Implementation of machine-learning classification in remote sensing: an applied review
ISSN: 0143-1161, 1366-5901, 1366-5901Vydáno: London Taylor & Francis 03.05.2018Vydáno v International journal of remote sensing (03.05.2018)“…Machine learning offers the potential for effective and efficient classification of remotely sensed imagery. The strengths of machine learning include the…”
Získat plný text
Journal Article -
2
VIIRS night-time lights
ISSN: 0143-1161, 1366-5901, 1366-5901Vydáno: London Taylor & Francis 02.11.2017Vydáno v International journal of remote sensing (02.11.2017)“…The Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) collects global low-light imaging data that have significant improvements over…”
Získat plný text
Journal Article -
3
Land cover 2.0
ISSN: 0143-1161, 1366-5901, 1366-5901Vydáno: London Taylor & Francis 18.06.2018Vydáno v International journal of remote sensing (18.06.2018)“…Interest in knowing more about the Earth's land cover and how it has changed over time motivated the mission and sensor design of early terrestrial remote…”
Získat plný text
Journal Article -
4
A2-FPN for semantic segmentation of fine-resolution remotely sensed images
ISSN: 0143-1161, 1366-5901, 1366-5901Vydáno: London Taylor & Francis 01.02.2022Vydáno v International journal of remote sensing (01.02.2022)“…The thriving development of earth observation technology makes more and more high-resolution remote-sensing images easy to obtain. However, caused by…”
Získat plný text
Journal Article -
5
Forestry applications of UAVs in Europe: a review
ISSN: 0143-1161, 1366-5901, 1366-5901Vydáno: London Taylor & Francis 19.05.2017Vydáno v International journal of remote sensing (19.05.2017)“…Unmanned aerial vehicles (UAVs) or remotely piloted aircraft systems are new platforms that have been increasingly used over the last decade in Europe to…”
Získat plný text
Journal Article -
6
What good are unmanned aircraft systems for agricultural remote sensing and precision agriculture?
ISSN: 0143-1161, 1366-5901, 1366-5901Vydáno: London Taylor & Francis 18.08.2018Vydáno v International journal of remote sensing (18.08.2018)“…Remote sensing from unmanned aircraft systems (UAS) was expected to be an important new technology to assist farmers with precision agriculture, especially…”
Získat plný text
Journal Article -
7
Urban mapping using DMSP/OLS stable night-time light: a review
ISSN: 0143-1161, 1366-5901, 1366-5901Vydáno: London Taylor & Francis 02.11.2017Vydáno v International journal of remote sensing (02.11.2017)“…The Defense Meteorological Satellite Program/Operational Linescane System (DMSP/OLS) stable night-time light (NTL) data showed great potential in urban extent…”
Získat plný text
Journal Article -
8
Crop type classification using a combination of optical and radar remote sensing data: a review
ISSN: 0143-1161, 1366-5901, 1366-5901Vydáno: London Taylor & Francis 02.09.2019Vydáno v International journal of remote sensing (02.09.2019)“…Reliable and accurate crop classification maps are an important data source for agricultural monitoring and food security assessment studies. For many years,…”
Získat plný text
Journal Article -
9
Sentinel-1-based flood mapping: a fully automated processing chain
ISSN: 0143-1161, 1366-5901, 1366-5901Vydáno: Taylor & Francis 02.07.2016Vydáno v International journal of remote sensing (02.07.2016)“…This article presents an automated Sentinel-1-based processing chain designed for flood detection and monitoring in near-real-time (NRT). Since no user…”
Získat plný text
Journal Article -
10
Feature extraction for hyperspectral image classification: a review
ISSN: 0143-1161, 1366-5901, 1366-5901Vydáno: London Taylor & Francis 17.08.2020Vydáno v International journal of remote sensing (17.08.2020)“…Hyperspectral image sensors capture surface reflectance over a range of wavelengths. The fine spectral information is recorded in terms of hundreds of bands…”
Získat plný text
Journal Article -
11
Analysis of various optimizers on deep convolutional neural network model in the application of hyperspectral remote sensing image classification
ISSN: 0143-1161, 1366-5901, 1366-5901Vydáno: London Taylor & Francis 02.04.2020Vydáno v International journal of remote sensing (02.04.2020)“…Hyperspectral image (HSI) classification is a most challenging task in hyperspectral remote sensing field due to unique characteristics of HSI data. It…”
Získat plný text
Journal Article -
12
Landslide mapping with remote sensing: challenges and opportunities
ISSN: 0143-1161, 1366-5901, 1366-5901Vydáno: London Taylor & Francis 16.02.2020Vydáno v International journal of remote sensing (16.02.2020)“…Landslide mapping is the primary step for landslide investigation and prevention. At present, both the accuracy and the degree of automation of landslide…”
Získat plný text
Journal Article -
13
Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data
ISSN: 1366-5901, 0143-1161, 1366-5901Vydáno: Abingdon Taylor & Francis 10.04.2013Vydáno v International journal of remote sensing (10.04.2013)“…We have produced the first 30 m resolution global land-cover maps using Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) data. We have…”
Získat plný text
Journal Article -
14
Practical guidelines for choosing GLCM textures to use in landscape classification tasks over a range of moderate spatial scales
ISSN: 0143-1161, 1366-5901, 1366-5901Vydáno: London Taylor & Francis 04.03.2017Vydáno v International journal of remote sensing (04.03.2017)“…Texture measurements quantitatively describe relationships of DN values of neighbouring pixels. The output is a continuous measure of spatial information that…”
Získat plný text
Journal Article -
15
Cattle detection and counting in UAV images based on convolutional neural networks
ISSN: 0143-1161, 1366-5901, 1366-5901Vydáno: London Taylor & Francis 02.01.2020Vydáno v International journal of remote sensing (02.01.2020)“…For assistance with grazing cattle management, we propose a cattle detection and counting system based on Convolutional Neural Networks (CNNs) using aerial…”
Získat plný text
Journal Article -
16
An innovative echo detection system with STM32 gated and PMT adjustable gain for airborne LiDAR
ISSN: 0143-1161, 1366-5901, 1366-5901Vydáno: Taylor & Francis 17.12.2021Vydáno v International journal of remote sensing (17.12.2021)“…In bathymetric Airborne LiDAR (Light Detection And Ranging) for the measurement of various water depths, the echo of the laser signal is amplified by an…”
Získat plný text
Journal Article -
17
Determining tree height and crown diameter from high-resolution UAV imagery
ISSN: 0143-1161, 1366-5901, 1366-5901Vydáno: London Taylor & Francis 19.05.2017Vydáno v International journal of remote sensing (19.05.2017)“…Advances in computer vision and the parallel development of unmanned aerial vehicles (UAVs) allow for the extensive use of UAV in forest inventory and in…”
Získat plný text
Journal Article -
18
A machine learning-based strategy for estimating non-optically active water quality parameters using Sentinel-2 imagery
ISSN: 0143-1161, 1366-5901, 1366-5901Vydáno: London Taylor & Francis 04.03.2021Vydáno v International journal of remote sensing (04.03.2021)“…Water-quality monitoring for small urban waterbodies by remote sensing gets to be difficult due to the coarse spatial resolution of remote-sensing imagery. The…”
Získat plný text
Journal Article -
19
A critical review on multi-sensor and multi-platform remote sensing data fusion approaches: current status and prospects
ISSN: 0143-1161, 1366-5901, 1366-5901Vydáno: London Taylor & Francis 01.02.2025Vydáno v International journal of remote sensing (01.02.2025)“…Numerous remote sensing (RS) systems currently collect data about Earth and its environments. However, each system provides limited data in terms of spatial…”
Získat plný text
Journal Article -
20
UAS, sensors, and data processing in agroforestry: a review towards practical applications
ISSN: 0143-1161, 1366-5901, 1366-5901Vydáno: London Taylor & Francis 19.05.2017Vydáno v International journal of remote sensing (19.05.2017)“…The aim of this study is twofold: first, to present a survey of the actual and most advanced methods related to the use of unmanned aerial systems (UASs) that…”
Získat plný text
Journal Article