Object Detection in Multispectral Remote Sensing Images Based on Cross-Modal Cross-Attention.

In complex environments a single visible image is not good enough to perceive the environment, this paper proposes a novel dual-stream real-time detector designed for target detection in extreme environments such as nighttime and fog, which is able to efficiently utilise both visible and infrared images to achieve Fast All-Weatherenvironment sensing (FAWDet). Firstly, in order to allow the network to process information from different modalities simultaneously, this paper expands the state-of-the-art end-to-end detector YOLOv8, the backbone is expanded in parallel as a dual stream. Then, for purpose of avoid information loss in the process of network deepening, a cross-modal feature enhancement module is designed in this study, which enhances each modal feature by cross-modal attention mechanisms, thus effectively avoiding information loss and improving the detection capability of small targets. In addition, for the significant differences between modal features, this paper proposes a three-stage fusion strategy to optimise the feature integration through the fusion of spatial, channel and overall dimensions. It is worth mentioning that the cross-modal feature fusion module adopts an end-to-end training approach. Extensive experiments on two datasets validate that the proposed method achieves state-of-the-art performance in detecting small targets. The cross-modal real-time detector in this study not only demonstrates excellent stability and robust detection performance, but also provides a new solution for target detection techniques in extreme environments.

Effects of Value Perception, Environmental Regulation and Their Interaction on the Improvement of Herdsmen's Grassland Ecological Policy Satisfaction.

Sustainable utilization of grassland resources was an important topic concerned by worldwide countries and regions, and ecological compensation had gradually become the main policy tool for grassland environmental management and ecological protection. This study adopted face-to-face interviews and questionnaires, and multiordered Logit model was then used to explore herdsmen's satisfaction with Grassland Ecological Conservation Subsidy and Reward Policy (GECSRP) focusing on identifying the key factors behind it. Results showed that herdsmen were not satisfied with GECSRP on the whole, while value perception, environmental regulation and their interaction played a positive role on improving the satisfaction. Specifically, economic benefits had the strongest promotion impacts, followed by social identity in the two-dimensional variables of value perception. The guiding regulation had stronger promoting impacts, followed by the incentive regulation in the two-dimensional variables of environmental regulation. Interestingly, incentive regulation played an enhanced interaction on the influence of economic benefits and environmental value on herdsmen's satisfaction, yet the interaction between guiding regulation and environmental value was not significant. These indicated that herdsmen paid more attention to substantial subsidies and rewards in the process of ecological livestock husbandry, and environmental regulation formulated by government had a phenomenon of "relative system failure". Thus, the grassland ecological environment policy should be further adjusted and improved to promote the economic development of pastoral areas.

Factors affecting the willingness of agricultural green production from the perspective of farmers' perceptions.

In the context of increasingly tight resource and environmental constraints, understanding why and how farmers were willing to engage in agricultural green production (AGP) had become a major practical issue that needed to be answered to promote sustainable development of agricultural economy. This study collected first-hand data of 645 grain growers and used structural equation model (SEM) to explore the impacts of farmers' perceptions on AGP willingness focusing on perceived value and its antecedent factors, namely perceived benefits and perceived risks. Results showed that perceived value and perceived benefits had significantly positive impacts on AGP willingness, while the impacts of perceived risks was significantly negative. Furthermore, it was found that although the direct effect from perceived value (0.364) on farmers' AGP willingness was greater than perceived benefits and perceived risks, the decisive factor that ultimately played a key role in AGP willingness was farmers' perceived benefits (0.501). This was because perceived value played an actively mediating role of 23.1% in the path from perceived benefits to green production willingness. Besides, the multi-group analysis (MGA) found that the variable 'whether to join a cooperative or not' had a positively moderating effect on the relationship between farmers' AGP perceived value and willingness. Meanwhile, the variable 'joining cooperative group' (0.552) had a greater impact on the perceived value-green production willingness path of farmers' AGP than the variable 'non-joining cooperative group' (0.251), which indicated that farmers' AGP willingness could be enhanced by joining a cooperative. This study provides some enlightenment and reference for policy makers and practitioners to design or adjust programs related to reducing rural environmental pollution and implementing AGP.