In　the　field　of　software　engineering,　large　and　complex　code　bases　may　lead　to　some　burden　of　understanding　their　structure　and　meaning　for　developers.　To　reduce　the　burden　on　developers,　we　consider　a　code　base　visualization　method　to　visually　express　the　meaning　of　code　bases.　Inspired　by　remote　sensing　imagery,　we　employ　graphical　representations　to　illustrate　the　semantic　connections　within　Java　code　bases,　aiming　to　help　developers　understand　its　meaning　and　logic.　This　approach　is　segmented　into　three　distinct　levels　of　analysis.　First,　at　the　project-level,　we　visualize　Java　projects　by　portraying　each　file　as　an　element　within　a　code　forest,　offering　a　broad　overview　of　the　project＇s　structure.　This　macro-view　perspective　aids　in　swiftly　grasping　the　project＇s　layout　and　hierarchy.　Second,　at　the　file-level,　we　concentrate　on　individual　files,　using　visualization　techniques　to　highlight　their　unique　attributes　and　complexities.　This　perspective　enables　a　deeper　understanding　of　each　file＇s　structure　and　its　role　within　the　larger　project.　Finally,　at　the　component-level,　our　focus　shifts　to　the　detailed　analysis　of　Java　methods　and　classes.　We　examine　these　components　for　complexity　and　other　specific　characteristics,　providing　insights　that　are　crucial　for　the　optimization　of　code　and　the　enhancement　of　software　quality.　By　integrating　remote　sensing　technology,　our　method　offers　software　engineers　deeper　insights　into　code　quality,　significantly　enhancing　the　software　development　lifecycle　and　its　outcomes.