High-resolution synthetic aperture radar (SAR) images are mostly used in the current field of ship classification, but in practical applications, moderate-resolution SAR images that can offer wider swath are more suitable for maritime surveillance. The ship targets in moderate-resolution SAR images occupy only a few pixels, and some of them show the shape of bright spots, which brings great difficulty for ship classification. To fully explore the deep-level feature representations of moderate-resolution SAR images and avoid the “dimension disaster”, we innovatively proposed a feature fusion framework based on the classification ability of individual features and the efficiency of overall information representation, called maximum-information-minimum-redundancy (MIMR). First, we applied the Filter method and Kernel Principal Component Analysis (KPCA) method to form two feature subsets representing the best classification ability and the highest information representation efficiency in linear space and nonlinear space. Second, the MIMR feature fusion method is adopted to assign different weights to feature vectors with different physical properties and discriminability. Comprehensive experiments on the open dataset OpenSARShip show that compared with traditional and emerging deep learning methods, the proposed method can effectively fuse non-redundant complementary feature subsets to improve the performance of ship classification in moderate-resolution SAR images.

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Environmental rights are an integral part of the human rights of every human. Environmental litigation is necessary to ensure that regardless of the social class of individuals, they have access to safe, healthy, sustainable, and clean surroundings. There has been a great dormancy in environmental ligation procedures which calls for research to identify reasons and find solutions. The research process is complex because of limitations in determining violations of ecological human rights. There are various reasons causing inequality in humans enjoying necessary environmental rights. The doctrine of forum non conveniens is one obstacle towards achieving environmental rights and requires an amicable solution for all cases. Standards are not uniform for all places internationally, making it challenging to develop uniform policies. Research shows that different reasonable plaintiffs are considered foreign, leaving matters open to infringement. Protection of legal action is rugged for various reasons and differences like Multinational Corporations. Environmental rights research is best conducted using the observational method. The method is best because it is qualitative and will enable researchers to classify their observations. The technique can be carried out in three ways including controlled, participant, and naturalistic observations to get wholesome information on the quality of the environment. Surveys and questionnaires will be used to collect data from respondents and compare it to their observed data. Researchers should use the regression method of data analysis while descriptive statistics will help to researcher visualize the environmental situation. The results will help researchers develop recommendations to improve ecological rights for the reviewed location. The doctrine of forum non conveniens is meant to serve environmental human rights and, therefore, should be enhanced for the purpose. Authorities need to solve problems of plaintiff difficulties by introducing and improving environmental public interests' lawsuits. This will be successful by stressing the vital points that form the fundamental requirements for successful ecological human rights.