CMIR-NET : A Deep Learning Based Model For Cross-Modal Retrieval In Remote Sensing

We address the problem of cross-modal information retrieval in the domain of remote sensing. In particular, we are interested in two application scenarios: i) cross-modal retrieval between panchromatic (PAN) and multi-spectral imagery, and ii) multi-label image retrieval between very high resolution (VHR) images and speech based label annotations. Notice that these multi-modal retrieval scenarios are more challenging than the traditional uni-modal retrieval approaches given the inherent differences in distributions between the modalities. However, with the growing availability of multi-source remote sensing data and the scarcity of enough semantic annotations, the task of multi-modal retrieval has recently become extremely important. In this regard, we propose a novel deep neural network based architecture which is considered to learn a discriminative shared feature space for all the input modalities, suitable for semantically coherent information retrieval. Extensive experiments are carried out on the benchmark large-scale PAN - multi-spectral DSRSID dataset and the multi-label UC-Merced dataset. Together with the Merced dataset, we generate a corpus of speech signals corresponding to the labels. Superior performance with respect to the current state-of-the-art is observed in all the cases

Inequality in Per Capita Water Availability: A Theil’s Second Measure Approach

This paper puts forward the application of Theil’s second measure in order to investigate international per capita water availability disparities. This index permits disparities to be disintegrated within and between groups of countries in a reliable way. An analysis of 188 countries for the period 1990–2012 demonstrates three observations: first, decline in per capita water availability disparities is characterized by both within-group and between-group inequality elements; second, between-group inequalities are at present the key contributor of the entire inequality scenario; and lastly, a comprehensive investigation on within-group inequalities divulges the noteworthy explanatory role played by Middle East countries towards increase in inequalities and countries pertaining to North America, Asia and Oceania towards decline in inequalities

Inequality in Per Capita Water Availability: A Theil’s Second Measure Approach

This paper puts forward the application of Theil’s second measure in order to investigate international per capita water availability disparities. This index permits disparities to be disintegrated within and between groups of countries in a reliable way. An analysis of 188 countries for the period 1990–2012 demonstrates three observations: first, decline in per capita water availability disparities is characterized by both within-group and between-group inequality elements; second, between-group inequalities are at present the key contributor of the entire inequality scenario; and lastly, a comprehensive investigation on within-group inequalities divulges the noteworthy explanatory role played by Middle East countries towards increase in inequalities and countries pertaining to North America, Asia and Oceania towards decline in inequalities

Estimation of environmental Kuznets curve for SO2 emission: A case of Indian cities

Interaction between environmental degradation and economic growth is a growing matter of interest among policymakers. In this study, we have estimated Environmental Kuznets Curve (EKC) for 139 Indian cities considering SO2 emissions. Study has been done for 2001-2013, and the data have been segregated by residential and industrial areas, and as well as low, medium, and high income areas. Fixed and random effect panel regressions have been used for analysis, along with a series of auxiliary regressions on orthogonally transformed dataset. By virtue of different forms of EKC being found, policy level decisions have been designed. Moreover, non-rejection of EKC hypothesis reemphasized the impact of growth catalyzing economic policy decisions on environment

Environmental Kuznets curve estimation for NO2 emission: A case of Indian cities

Interaction between environmental degradation and economic growth is a growing matter of interest among policymakers. Here we have estimated Environmental Kuznets Curve (EKC) for 139 Indian cities considering NO2 emissions. Study has been done for 2001-2013, and the data have been segregated by residential and industrial areas, and as well as low, medium, and high income areas. By virtue of different forms of EKC being found, policy level decisions have been designed. Moreover, non-rejection of EKC hypothesis reemphasized the impact of growth catalyzing economic policy decisions on environment

Estimation of environmental Kuznets curve for SO2 emission: A case of Indian cities

Interaction between environmental degradation and economic growth is a growing matter of interest among policymakers. In this study, we have estimated Environmental Kuznets Curve (EKC) for 139 Indian cities considering SO2 emissions. Study has been done for 2001-2013, and the data have been segregated by residential and industrial areas, and as well as low, medium, and high income areas. Fixed and random effect panel regressions have been used for analysis, along with a series of auxiliary regressions on orthogonally transformed dataset. By virtue of different forms of EKC being found, policy level decisions have been designed. Moreover, non-rejection of EKC hypothesis reemphasized the impact of growth catalyzing economic policy decisions on environment

Estimation of environmental Kuznets curve for SO2 emission: A case of Indian cities

Interaction between environmental degradation and economic growth is a growing matter of interest among policymakers. In this study, we have estimated Environmental Kuznets Curve (EKC) for 139 Indian cities considering SO2 emissions. Study has been done for 2001-2013, and the data have been segregated by residential and industrial areas, and as well as low, medium, and high income areas. Fixed and random effect panel regressions have been used for analysis, along with a series of auxiliary regressions on orthogonally transformed dataset. By virtue of different forms of EKC being found, policy level decisions have been designed. Moreover, non-rejection of EKC hypothesis reemphasized the impact of growth catalyzing economic policy decisions on environment