{"title":"Visualization of hyperplanes for SVM classification","authors":"A. Lucieer","doi":"10.1109/IGARSS.2007.4423230","DOIUrl":"https://doi.org/10.1109/IGARSS.2007.4423230","url":null,"abstract":"The 'Hyperplane' is the decision boundary in feature space that separates two classes with the greatest margin. This study aims to visualize SVM hyperplanes between multiple classes in a 3D feature space. This Visual Data Mining (VDM) tool is developed for four reasons: 1) to improve a user's understanding of the SVM classifier; 2) to visually assess the potential overlap of training pixels in feature space; 3) to assess the accuracy with which hyperplanes based on an SVM classifier can separate classes; 4) to explore uncertainty related to pixels that cross the hyperplane. This paper argues that VDM is an important tool for visual exploration of the data to improve insight into the classification algorithm and identify sources uncertainty.","PeriodicalId":284711,"journal":{"name":"2007 IEEE International Geoscience and Remote Sensing Symposium","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125913381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Caspar, O. Colin, H. Laur, B. Rosich, G. Tandurella, E. Mathot, P. Gonçalves, F. Brito
{"title":"Generation of ENVISAT ASAR Mosaics accessible on-line","authors":"C. Caspar, O. Colin, H. Laur, B. Rosich, G. Tandurella, E. Mathot, P. Gonçalves, F. Brito","doi":"10.1109/IGARSS.2007.4423069","DOIUrl":"https://doi.org/10.1109/IGARSS.2007.4423069","url":null,"abstract":"This paper describes the routine generation of ASAR mosaics at ESRIN and their distribution via Web map servers. ASAR products are automatically collected from various processing sites to be geocoded and mosaicked on the GRID Processing on Demand system at ESRIN. New mosaics are automatically transferred to an OpenGIS Web map server where they can be directly visualized at full resolution by external users. The generation of mosaics involves several processing steps including antenna pattern correction and compensation of incidence angle depending on vegetation type. Several map projections are supported including polar stereographic projections (Arctic and Antarctic's) as well as Plate Carre acutee projections (entire World).","PeriodicalId":284711,"journal":{"name":"2007 IEEE International Geoscience and Remote Sensing Symposium","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125922921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Amorós-López, J. Vila-Francés, L. Gómez-Chova, L. Alonso, L. Guanter, Secundino del Valle-Tascun, J. Calpe-Maravilla, J. Moreno
{"title":"Remote sensing of chlorophyll fluorescence for estimation of stress in vegetation. recommendations for future missions","authors":"J. Amorós-López, J. Vila-Francés, L. Gómez-Chova, L. Alonso, L. Guanter, Secundino del Valle-Tascun, J. Calpe-Maravilla, J. Moreno","doi":"10.1109/IGARSS.2007.4423663","DOIUrl":"https://doi.org/10.1109/IGARSS.2007.4423663","url":null,"abstract":"Vegetation monitoring is a key issue in Earth Observation due to its relation with the global CO2 cycle. Chlorophyll fluorescence (ChF) emitted by the vegetation is an accurate indicator of the plant status and their photosynthetic activity. This work analyses the diurnal evolution of the ChF emission spectrum and the fluorescence yield in order to determine the best conditions for remote sensing of ChF from a satellite platform. The ChF evolution is studied at leaf level during several diurnal cycles, in simulated conditions, for two species under different stress conditions. The analysis of the signal levels gives an estimation of the values of ChF emission which could be observed from a remote sensing platform, and determines the best overpass time for this observation.","PeriodicalId":284711,"journal":{"name":"2007 IEEE International Geoscience and Remote Sensing Symposium","volume":"120 6 Suppl 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123243433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Autonomous Objectively Optimized Observing Systems","authors":"David John Lary","doi":"10.1109/IGARSS.2007.4423062","DOIUrl":"https://doi.org/10.1109/IGARSS.2007.4423062","url":null,"abstract":"This paper describes one vision for future Earth observing systems. New in this vision is the desire for symbiotic communication to dynamically guide an Earth observation system. An Earth observation system which is not just a single satellite acting on its own but a constellation of satellites, and sub-orbital platforms such as unmanned aerial vehicles, and ground observations interacting with computer systems used for modeling, data analysis and dynamic observation guidance. An autonomous Objectively Optimized Observation Direction System (OOODS) is of great utility for Earth observation. In particular, to have a fleet of smart assets that can be reconfigured based on the changing needs of science and technology. The OOODS integrates a modeling and assimilation system within the sensor web allowing the autonomous scheduling of the chosen assets and the autonomous provision of analyses to users. The OOODS operates on generic principles that could easily be used in configurations other than the specific examples described here. Metrics of what we do not know (state vector uncertainty) are used to define what we need to measure and the required mode, time and location of the observations, i.e. to define in real time the observing system targets. Metrics of how important it is to know this information (information content) are used to assign a priority to each observation. The metrics are passed in real time to the sensor web observation scheduler to implement the observation plan for the next observing cycle. The same system could also be used to reduce the cost and development time in an Observation Sensitivity Simulation Experiment (OSSE) mode for the optimum development of the next generation of space and ground-based observing systems.","PeriodicalId":284711,"journal":{"name":"2007 IEEE International Geoscience and Remote Sensing Symposium","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123563395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Vafeidis, S. Koukoulas, Ioannis Gatsis, K. Gkoltsiou
{"title":"Forecasting land-use changes with the use of neural networks and GIS","authors":"A. Vafeidis, S. Koukoulas, Ioannis Gatsis, K. Gkoltsiou","doi":"10.1109/IGARSS.2007.4424001","DOIUrl":"https://doi.org/10.1109/IGARSS.2007.4424001","url":null,"abstract":"In the present study a spatial model, which combines GIS with artificial neural networks, has been developed for forecasting changes in land use. The model has been parameterized for the island of Lesvos (NE Greece) for the time period between 1975 and 1999 and employs an artificial neural network for predicting the patterns of development of the island's urban areas and olive groves, based on a series of input parameters such as population density, transportation network, location of urban areas, proximity to the coastline and elevation. In this context, data from 1975 and 1990 have been used as input and the model has been run to project (i) urban land development and (ii) patterns of olive grove cultivations, for the year 1999. Results demonstrate that the model can predict reasonably well the patterns of change of the island's urban areas, however its predictive ability regarding the changes in the extent of coverage of olive cultivations is considerably lower. The overall performance of the model and its advantages and limitations are critically assessed and future improvements are suggested.","PeriodicalId":284711,"journal":{"name":"2007 IEEE International Geoscience and Remote Sensing Symposium","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123801246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Inland lake monitoring using low and medium resolution ENVISAT ASAR and optical data: Case study of Poyang Lake (Jiangxi, P.R. China)","authors":"R. Andreoli, H. Yésou, Jiren Li, Y. Desnos","doi":"10.1109/IGARSS.2007.4423876","DOIUrl":"https://doi.org/10.1109/IGARSS.2007.4423876","url":null,"abstract":"Poyang Lake, one of the most regularly flooded areas in China, can be considered as a key natural flood control and reduction element within the Changjiang middle basin. Within the Flood DRAGON Project, part of the MOST-ESA DRAGON Programme, Poyang Lake's water extent was monitored based on 64 ENVISAT low and medium resolution ASAR and MERIS Full Resolution data, over a two and half year period. It's the first time that such an amount of ENVISAT data was exploited in monitoring inland lake water extent variations. This original integration approach permitted: lake-surface variation analysis, yearly submersion-time estimation, and the recognition of three hydrological sub-systems. The results highlight the great potential of ENVISAT and more largely of Earth Observation Medium Resolution data in monitoring and managing large inland water bodies. This approach can be applied worldwide in a global climate change context.","PeriodicalId":284711,"journal":{"name":"2007 IEEE International Geoscience and Remote Sensing Symposium","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125280234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On SAR hurricane wind speed ambiguities","authors":"Hui Shen, W. Perrie, Yijun He","doi":"10.1109/IGARSS.2007.4423359","DOIUrl":"https://doi.org/10.1109/IGARSS.2007.4423359","url":null,"abstract":"Radar backscattered signals over the ocean are dampened in extremely high winds, which leads to a wind speed ambiguity problem during the process of wind retrieval from synthetic aperture radar (SAR). This problem was firstly studied by Shen et al. (2007), where we proposed a wind speed ambiguity removal scheme for the two wind speed solutions that may exist for any given normalized radar cross section (NRCS) and wind direction. This approach is based on the operational geophysical model function (GMF) CMOD5. Recently, new C-band GMFs for high wind have been developed, among which, a HH polarized GMF was established for the first time. In this study, the wind speed ambiguity problem will be studied within the context of the available high wind GMFs, which are,CMOD5,CMOD4HW,HWGMF_V and HWGMF_H. For the wind retrieval from HH polarized SAR images, a hybrid empirical polarization ratio is generally adopted. To compare the different behavior of various GMF models, this polarization ratio is used to transform the HH polarized GMF into a W field. Although the wind speed ambiguity problem is found in most GMFs, the saturation wind speed where radar backscattered signals start to decrease is different for the various GMFs. We show that consideration of the wind speed ambiguity problem is important for high wind retrieval from SAR images, especially for category 5 hurricanes.","PeriodicalId":284711,"journal":{"name":"2007 IEEE International Geoscience and Remote Sensing Symposium","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125421423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pengxiang Wang, Youfei Zheng, Jinhai He, Qiang Zhang, Baojiang Wang
{"title":"Analysis of climate change from dry to wet phase in NW China with an aridity-wetness homogenized index","authors":"Pengxiang Wang, Youfei Zheng, Jinhai He, Qiang Zhang, Baojiang Wang","doi":"10.1109/IGARSS.2007.4423165","DOIUrl":"https://doi.org/10.1109/IGARSS.2007.4423165","url":null,"abstract":"Based on 1960-2003 rainfall and small-sized evaporation pan measurements from 131 stations in NW China, an aridity-wetness homogenized index is proposed of rainfall and evaporation as the crucial components of hydrological equilibrium, whereupon research is made of space/time characteristics of the climate that may change from a warm, dry to warm, wet phase in this region. Results show that 1) a regional consistent anomaly serves as the paramount mode of the 1960- 2003 yearly dry and wet features, as well as the opposite feature in the NW (NE) to the SE (SW) is also the important modes for the annual dry and wet abnormality; 2) the space patterns for the arid and moist anomaly include the westerly, tableland and monsoon climates; 3) the annual arid and wet features display greatly humidification trends in the whole NW, westerly and tableland climate zones, with the westerly climate humidification stronger than and the trend of the tableland sub-zone, their abrupt change from arid to moist in the mid 1970s while the area on the fringe of monsoon climate in the southeast of NW China shows a trend of aridification, which is rather weak, however.","PeriodicalId":284711,"journal":{"name":"2007 IEEE International Geoscience and Remote Sensing Symposium","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125530264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Hyperspectral feature space partitioning via mutual information for data fusion","authors":"S. Prasad, L. Bruce","doi":"10.1109/IGARSS.2007.4423946","DOIUrl":"https://doi.org/10.1109/IGARSS.2007.4423946","url":null,"abstract":"Multi-source data fusion is being actively explored in the remote sensing community for robust automatic target recognition (ATR) and other similar applications. Such an approach exploits multiple, independent observations of a phenomenon and performs a feature level or a decision level fusion for ATR, scene classification, land cover mapping, etc. In this paper, we present a method that utilizes such fusion techniques to exploit hyperspectral data, which otherwise typically suffers from the small sample size problem, (i.e., there are typically not as many ground truth pixels as the dimensionality of the data). In this work, we study the efficacy of using higher order statistical information (using average mutual information) for a bottom up band grouping in a multi- classifier setup. The band grouping procedure is employed to partition the hyperspectral space into approximately independent subspaces. A classifier is assigned to each subspace in the partition. Final classification decisions are made by fusing local decisions from each subspace. The goal of this paper is to (1) perform subspace identification using the proposed mutual information based metric, (2) explore the effect of the design parameters on the fusion performance and, (3) compare the performance of decision level fusion with feature level fusion over the partitioned subspace.","PeriodicalId":284711,"journal":{"name":"2007 IEEE International Geoscience and Remote Sensing Symposium","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125559263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A new method for moving target indication and detection in multi-channel SAR data","authors":"L. Lidicky","doi":"10.1109/IGARSS.2007.4423935","DOIUrl":"https://doi.org/10.1109/IGARSS.2007.4423935","url":null,"abstract":"A new and fast algorithm for MTI/MTD processing is presented. This algorithm is based on a formation of SAR images from each channel and using these for separation between moving and stationary targets. First, the problem is described by means of a generalized model. Then, an inverse problem is formulated and some of its approximate solutions by means of the Fourier transform are given. The approximate solutions are used to show how one can resolve stationary targets and moving ones completely regardless their distribution in space or reflectivity. The only criterion used is the velocity of a target. Further, it is shown how moving targets and stationary targets can be separated from processed, that is focused, SAR images.","PeriodicalId":284711,"journal":{"name":"2007 IEEE International Geoscience and Remote Sensing Symposium","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126599246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}