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- 摘要
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- 实验方案
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Spatio-Temporal Assessment of Fire Severity in a Protected and Mountainous Ecosystem
摘要： Wildfires are one of the major threats to the biodiversity of protected and mountainous landscapes. The severity of these fires is an important factor that influence vegetation recovery. Several remote sensing techniques has been used in previous studies to assess fire severity, but the Normalized Burn Ratio (NBR) has become the standard SI approach to assess burn severity. The Normalized Burn Ratio (NBR) demarcates burnt and unburned pixels in the pre-/post-fire season and, then creates an index of the severity of a burn using multi-spectral sensors, which establishes an ideal tool for fire severity assessment. In this study, the fire severity level is computed using the NBR Index from LANDSAT image. The images of pre-and post-fire are used to evaluate the severity level, which is defined as a difference in NBR Index of pre- and post-fire. Results shows that in year 2000, 30704.22 ha of area burned with low to high severity, 31352.13 ha in year 2005, 4697 ha in year 2013 and 30009.33 ha in 2017. A hundred field plots and fire records were used to validate the fire severity map for 2013 and 2017 with an accuracy of 74% which supports the use of NBR for assessing fire severity.
关键词： Fire severity,Normalized Burn Ratio,Remote Sensing
更新于2025-09-04 15:30:14
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Change Detection Based on Fully-Connected Conditional Random Field with Region Potential in Remote Sensing Images
摘要： In this paper, a new change detection method based on fully-connected conditional random field (FCCRF) with region potential is proposed. To deal with over-smoothing problem in FCCRF model, we propose to add region boundary constraint into FCCRF model. The proposed method defines the unary potential using the memberships of unsupervised fuzzy C-means clustering, designs the pairwise potential by a linear combination of Gaussian kernels using the complete set of pixels in the multi-temporal images to suppress noise effects, implements the region potential by the mean probability of pixels within image objects to preserve details of object boundary information. Experimental results demonstrate that the proposed method improves the change detection accuracy, turns out to be more robust against noise than traditional approaches.
关键词： Change detection,Conditional Random Field,Remote Sensing Image
更新于2025-09-04 15:30:14
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - A Novel Multiple Kernel Learning Framework for Remote Sensing Scene Classification
摘要： In the paper we propose a novel multiple kernel learning framework for representation-based classification (MKL-RC) of remote sensing image scenes. Unlike the existing methods that often greedily learn an optimal combined kernel from predefined base kernels by optimization method, resulting in high computation time but relatively better performance. The proposed approach is different from traditional kernel methods and characterized by multiple feature and multiple kernel learning in a representation-based classification manner. Experimental results on two real remote sensing scene datasets demonstrate that the proposed methods can achieve superior performance than the state-of-the-art classification methods.
关键词： representation-based classification,multiple kernels learning (MKL),extended multi-attribute profile,Remote sensing scene classification
更新于2025-09-04 15:30:14
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Mini-UAV-Borne Hyperspectral Remote Sensing: From Observation and Processing to Applications
摘要： In recent years, with the rapid development of unmanned aerial vehicles (UAVs) and lightweight hyperspectral imaging (HSI) sensors, mini-UAV-borne hyperspectral remote sensing (HRS) systems have been developed and demonstrate great value and application potential. Compared to spaceborne and airborne HSI systems, mini-UAV-borne HSI systems come with relatively low manufacturing and running costs and have thus become a new research focus in the field of HRS. This article focuses on recent developments in UAV-borne HRS, including UAV platforms, miniaturized hyperspectral sensors, system integration, data observation, and preprocessing. In addition, successful application cases in the domains of agriculture, forestry, geology, and environmental monitoring are introduced, and we discuss current UAV-borne systems and their developing trends.
关键词： forestry,environmental monitoring,hyperspectral remote sensing,HSI,geology,agriculture,UAV
更新于2025-09-04 15:30:14
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[IEEE 2018 IEEE International Symposium on Technologies for Homeland Security (HST) - Woburn, MA, USA (2018.10.23-2018.10.24)] 2018 IEEE International Symposium on Technologies for Homeland Security (HST) - Three-Dimensional Radiative Transfer for Hyperspectral Imaging Classification and Detection
摘要： Hyperspectral image exploitation algorithms typically require inputs of re?ectance spectra, which must be retrieved from the observed radiance spectra. This retrieval process is very challenging under the complex illumination conditions typical of urban settings due the in?uence of three-dimensional structure in the form of shadows and re?ections, which must be taken into account by the algorithms. In order to advance the state of the art on this problem, MIT Lincoln Laboratory recently conducted an airborne data collection experiment in a light urban environment that included hyperspectral, laser radar, and pan-chromatic modalities. A comprehensive ground truth data set was collected and extensive efforts were directed at sensor characterization to enable the development of hyper-spectral exploitation algorithms. Additionally, the laboratory is developing an extremely compact but high performance imaging spectrometer that will be ideal for the data collections required by this new image processing paradigm.
关键词： Remote sensing,Hyperspectral imaging,Ladar imaging
更新于2025-09-04 15:30:14
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[IEEE 2018 4th International Conference on Science and Technology (ICST) - Yogyakarta (2018.8.7-2018.8.8)] 2018 4th International Conference on Science and Technology (ICST) - Multi-Sensors Remote Sensing for Mapping and Monitoring Canals on Tropical Peatland
摘要： An assessment of multi-sensor remote sensing images for observation of canals on peatland in Indonesia has been carried out. Canals construction on peatlands is closely related to forest degradation and deforestation, and hence mapping and monitoring of these canals is essential for in conservation and restoration of degraded peatland Indonesia. Over million hectares of tropical peatland across the country and rapid land dynamic change, this task requires advance tools with capabilities to cover large area and detect change in near real time. With limitation possessed by each of remote sensing image, an effective and efficient mapping and monitoring system should be established by integration of these multi-sensors remote sensing. This paper presents evaluation of these images and how their performance fit into the system.
关键词： mapping and monitoring canals,images comparison,multi-sensors remote sensing,peatland degradation,tropical peatland
更新于2025-09-04 15:30:14
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Large-Scale Land Cover Classification in Gaofen-2 Satellite Imagery
摘要： Many significant applications need land cover information of remote sensing images that are acquired from different areas and times, such as change detection and disaster monitoring. However, it is difficult to find a generic land cover classification scheme for different remote sensing images due to the spectral shift caused by diverse acquisition condition. In this paper, we develop a novel land cover classification method that can deal with large-scale data captured from widely distributed areas and different times. Additionally, we establish a large-scale land cover classification dataset consisting of 150 Gaofen-2 imageries as data support for model training and performance evaluation. Our experiments achieve outstanding classification accuracy compared with traditional methods.
关键词： Gaofen-2,land cover classification,high-resolution remote sensing image,deep learning
更新于2025-09-04 15:30:14
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AIP Conference Proceedings [Author(s) PROCEEDINGS OF THE 3RD INTERNATIONAL SYMPOSIUM ON CURRENT PROGRESS IN MATHEMATICS AND SCIENCES 2017 (ISCPMS2017) - Bali, Indonesia (26–27 July 2017)] - Imaging structural control of geothermal reservoir using remote sensing and gravity data analysis in Blawan-Ijen, East Java, Indonesia
摘要： Ijen Volcanic Complex is part of the Quartenary volcanic front of the Sunda Arc. The arc is a subduction system as a result of the northward subduction of the Indo-Australian plate underneath the Eurasian plate. This paper presents remote sensing data analysis and gravity data interpretation to understand the geological structure and its correlation to the geothermal system. The remote sensing analysis is performed using morphostructure approach. Furthermore, the gravity survey also had been carried out in the Ijen Volcanic Complex in 2017. A total of 72 gravity stations were measured with station spacing about 1-1.5 km. The gravity anomaly was then separated into regional and residual anomaly using the first order of TSA method. A high bouguer anomaly found in the southwest area and then continued to the northeast area. The high bouguer anomaly in the southwest area is might be associated with the existence of several volcanoes such as Mt. Mlaten, Mt. Lingker, Mt. Anyar, and Mt. Pendil. Futhermore, the low bouguer anomaly that is seen in the southeast area is probably caused by the collapse of the Mt. Kukusan. Moreover, a high residual gravity anomaly in the center of the caldera is coincided with the geological structure intersection of Kawahwurung fault, Blawan fault and Kendeng-Merapi fault.
关键词： remote sensing,Structures,East Java,Blawan-Ijen,geothermal reservoir,gravity analysis
更新于2025-09-04 15:30:14
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Polarimetric remote sensing in oxygen A and B bands: sensitivity study and information content analysis for vertical profile of aerosols
摘要： Theoretical analysis is conducted to reveal the information content of aerosol vertical profile in space-borne measurements of the backscattered radiance and degree of linear polarization (DOLP) in oxygen (O2) A and B bands. Assuming a quasi-Gaussian shape for aerosol vertical profile characterized by peak height H and half width γ (at half maximum), the Unified Linearized Vector Radiative Transfer Model (UNL-VRTM) is used to simulate the Stokes four-vector elements of upwelling radiation at the top of atmosphere (TOA) and their Jacobians with respect to H and γ. Calculations for different aerosol types and different combinations of H and γ values show that the wide range of gas absorption optical depth in O2 A and B band enables the sensitivity of backscattered DOLP and radiance at TOA to the aerosol layer at different altitudes. Quantitatively, DOLP in O2 A and B bands is found to be more sensitive to H and γ than radiance, especially over the bright surfaces (with large visible reflectance). In many O2 absorption wavelengths, the degree of freedom of signal (DFS) for retrieving H (or γ) generally increases with H (and γ) and can be close to unity in many cases, assuming that the composite uncertainty from surface and aerosol scattering properties as well as measurements is less than 5 %. Further analysis demonstrates that DFS needed for simultaneous retrieval of H and γ can be obtained from a combined use of DOLP measurements at ～ 10–100 O2 A and B absorption wavelengths (or channels), depending on the specific values of H. The higher the aerosol layer, the fewer number of channels for DOLP measurements in O2 A and B bands are needed for characterizing H and γ. Future hyperspectral measurements of DOLP in O2 A and B bands are needed to continue studying their potential and their combination with radiance and DOLP in atmospheric window channels for retrieving the vertical profiles of aerosols, especially highly scattering aerosols, over land.
关键词： oxygen A and B bands,radiative transfer model,aerosol vertical profile,polarimetric remote sensing,degree of linear polarization
更新于2025-09-04 15:30:14
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[The Handbook of Environmental Chemistry] Environment, Energy and Climate Change I Volume 32 || The OASIS Observatory Using Ground-Based Solar Absorption Fourier-Transform Infrared Spectroscopy in the Suburbs of Paris (Créteil-France)
摘要： Ground-based Fourier-transform infrared (FTIR) solar absorption spectroscopy has led to a number of significant advances in our understanding of the atmosphere by providing information on the vertical distribution of various trace gases. Previously used to analyse solar absorption spectra measured at high-resolution in unpolluted sites, the retrieval code PROFFIT has been adapted to deal with spectra recorded at medium spectral resolution with a Bruker Optics Vertex 80 FTIR spectrometer. As one of the major instruments of the experimental observatory named OASIS (Observations of the Atmosphere by Solar Infrared Spectroscopy), this instrument is dedicated to the study of air composition in the suburbs of Paris. Accurate measurements of the most important atmospheric pollutants are indeed essential to improve the understanding and modelling of urban air pollution processes. Located in an urban region, OASIS enables to monitor key pollutants such as NOx, O3, CO and VOCs. In this chapter, 5 years intercomparison study with on-ground and satellite measurements for O3 and CO is reported, demonstrating the performances of a medium-resolution ground-based instrument and especially confirming its capability for tropospheric ozone monitoring.
关键词： Air quality in megacity,Ozone,Remote sensing,IR spectroscopy,Solar occultation,Carbon monoxide
更新于2025-09-04 15:30:14